Those Crazy Acronyms

Those Crazy Acronyms Acronyms are those convenient abbreviations we all know about that replace long words or complex titles for quicker communication of complex ideas or names. They usually come from the initial components in a much longer phrase or name thats in common use in a business, specialty, or culture. The components that form acronyms are often the first letters of the most important words in that longer title or name or concept, as in CEO for Chief Operating Officer or IBM (International Business Machines) or http (Hypertext Transfer Protocol) in website addresses.Where do we use acronyms today? Nearly everywhere. We see them online, in research papers, on cable television, e-mails, social networking sites, phone texting, technical documentation, computer data systems, and many other places. Acronyms are especially recognizable when we dont understand what they mean and whats being said to us or written in what were reading. When we understand the meaning of an acronym, however, we rush right by it and keep reading.There is definitely a major upsurge in acronym use in writing today and frankly in all areas of communication. Acronyms have become a favorite tool for fast and brief communication and likely a direct outgrowth of our modern approach to thinking - say it fast and move on to the next idea or task. Speed is the main instigator of all the acronym use we are seeing now. Another cause is the expansion of complicated bureaucracies that force us to try and avoid writing long titles and department names and regulatory references over and over in favor of more brevity. Then we can move on to our next task more quickly.Most of us are familiar with well-known acronyms like the FBI or NASA or UPS or VISA or even USA, but what happens when we try to figure out the following communication with no explanation there?Its important to review APCAT fully for USQRW and follow the instructions found in the ZEPX of the database, or you will likely apply the TYOP in error.There is quite a difference, dont you think?We all have also had the exasperating experience of being in a non-understandable discussion with a colleague from another department or a customer service representative or hearing a lecture in school thats confusing or reading a journal article were sourcing for a research paper and running into a bunch of acronyms that arent explained anywhere and used too indiscriminately. Its frustrating and confusing. The experience keeps us from fully understanding a key idea at a meeting, the details of a project proposal, a key element of a paper, or even an important safety concept. We are annoyed when we cant get done what we need to get done because we cant figure out the exact meaning of a few acronyms and have to go ask someone or look them up.If you want to be a good communicator and deliver the clear, specific writing that others will thank you for, you have to learn how to handle acronyms in daily writing. You need to know when to use them, when t o identify them, and when to fold them, i.e., avoid using them at all. Whats the best way to deal with these choices? How can you use specialized coded language effectively? The following suggestions are helpful, both to you as a writer and those who read your writing and want to understand it better. These acronym hints will help you communicate more clearly and let your readers keep their sanity when you do include acronyms in your writing.Make a concerted effort not to overuse these sometimes useful abbreviations. Dont turn everything you write into an unneeded acronym - it makes for annoying as well as confusing text. Use acronyms discriminately and only when it makes sense to use them and they truly fit into your discussion.Dont use internal acronyms that are known only to your department or team outside of that special environment without explaining what they mean to those other colleagues;In written material, at first mention of an acronym, write it out in parentheses as wel l to explain its full meaning the first time you use it. Dont keep your reader in the dark. Of course the exception to this hint are acronyms we all know and use every day.In that same vein, make sure your reader has the cultural background and professional experience to know even the most common acronyms - always remember and respect your reader.If the acronym you introduced disappears for a bunch of pages, repeat the explanation to refresh your reader. Assist your reader in understanding what youre trying to say. Its only polite, and it helps you get your idea across too.If you need to use a lot of technical or specialized acronyms in a piece of writing, i.e., a scientific paper, then add a Glossary or Appendix at the end and post all the acronyms and their meanings there as well for all to review. Those of your readers who know the meanings wont use the Glossary, but those who dont know what you mean or how an specific acronym fits into your text will have a ready-made source to find out and will thank you.Applying these simple writing tips will relieve a lot of reader tension in your delivery of ideas and produce clearer, more precise, even safer, communication. The truth is if your reader misses the meaning of an important acronym (or two or three) in your writing, he or she will likely also miss a major part of the meaning of your piece and the effort youve given it or at the very least a key part of the background that is vital for your reader to know to understand your idea.So, do use those crazy acronyms, but use them judiciously and with care. Remember that too much of the best spice can hurt any gourmet dish. Moderation is the key to good eats and good writing.

Cause-and-effects Essay Example | Topics and Well Written Essays - 500 words

Cause-and-effects - Essay Example When heated air from these surfaces begin to rise, it becomes absorbed by the clouds, which then condenses and turns into thunderclouds (Abbott 263). As the hot air rises, cooler air fills in the spaces that are left. The Earth, spinning on its axis, causes the air to spiral upwards, which causes the winds to rotate even faster. A hurricane has then been created, bringing with it strong winds that can reach up to two hundred miles per hour. A tornado is caused by a condition known as wind shear, which is when the speed or direction of wind changes with altitude. This can separate the updraft and downdraft of a thunderstorm, and if the wind shear is strong enough, it can cause horizontal vorticity (Abbott 239). Horizontal vorticity can be turned vertical by the updraft of the storm, which causes rotation. This rotation causes a tornado funnel to form, and thus a tornado. Tornadoes can produce winds up to three hundred and eighteen miles per hours, and they can cover group exceeding a mile at a time. These two weather conditions are capable of producing winds that can rip trees from the ground, toss vehicles, and tear homes from their foundations. They are both categorized based on size, wind speed, and level of destruction; while many people and buildings are able to survive Category One hurricanes or F2 tornadoes, the chances drastically decrease during a Category Five hurricane or an F5 tornado.

Decision Usefulness approach vs. Measurement Approach Research Paper

Decision Usefulness approach vs. Measurement Approach - Research Paper Example This research will begin with the Decision Useful Approach. This approach motivates the application of decision models. The approach is based on the concept that if financial statements cannot be prepared correctly, then financial statements must be presented in such a manner so as to reflect useful information focusing on users and the decision problems that they face. The approach assumes that if the financial and accounting is useful to investors, then trading volume of stocks should experience a surge and securities prices are also expected to increase or respond in predictable manner relative to publicly available accounting information. The Single-Pearson decision theory aims to understand how an investor makes rational decisions under circumstances of certainty. The theory appreciates the concept of information and enables decision makers to keep informed and modernize their beliefs. The concept uses the publicly available financial statements as source of information. The rat ionale or principle of portfolio diversification is as follows: Maintain a balance between risk and return Assurance that the different securities held for investment are negatively correlated which will give an assurance of protection in case of any market shortfall and an expectation of positive returns. Diversification of investment reduces the risk underlying the investment. Investment in a single stock of a particular company increases the substantial risk attached with the particular investment. The Optimal Portfolio Investment The concept of optimal investment falls under modern portfolio theory and assumes that investors prefer to minimize risk while striving for maximizing their expected returns. (Source: Spreadsheetml.com, http://www.spreadsheetml.com/finance/freeportfoliooptimization.shtml, 2013) The theory states investors will act rationally and thus they will always make decisions that will aim at maximizing their expected return for given tolerable level of risk. Portfolio Risk It is one of the concepts used in risk-return analysis that gives an estimate of actual returns relative to expected returns of an investment. Important factors which are considered in measuring portfolio risks are standard

Business research paper Essay Example | Topics and Well Written Essays - 750 words

Business research paper - Essay Example As part of the inquisition the research will make use of timestamps such as Weblog and news articles to feed as input materials to generate results that will be presented graphical. The graphical details will highlight major sentiments like anxiety, despair and disappointment. In addition, the development that comes with each of sentiments will be presented to illustrate for instance how the earthquake news was received and the corresponding reactions that followed afterwards. Essentially, the main motivation for using this method is for convenience since the participant dependent and independent variables are within meaningful reach. There are a good number of published as well as unpublished literature on the subject of sentiment analysis in both the academic and policy circles. Incidentally, in this review the most astounding works that have significant bearings on the subject matter will be reviewed. To begin with, it is undoubtedly prudent to establish the internal dynamics of sentimentalism. The paper benefits from the earlier work of pioneers who discovered the so-called semantic orientation of examination of a statement or a written material (Turney, 2002). Also according to Pang et la (2002), a sentence can be assessed to identify the positive and negative elements contained in it. Unlike the above mentioned works, this work will be influenced by the system of multi-polar analysis in order to draw the clear distinction between this and other previous papers. In a related context, researchers Mishne and de Rijke (2006) have advocated for a system that can evaluate momentary changes in the moods of people, it is what they term "Moodviews." Fundamentally, the analysis is carried out with the aid of over one hundred sentiments. A good number of scholarly works have been carried out on the question of "topic detection and tracking" with each of these groups making their own proposals depending on what is deemed fit for each circumstances. Interestingly, there is a gross limitation of work that fully addresses the utilization of sentiments under the "topic detection and tracking" column and this is precisely what this paper will be addressing. The process will also incorporate what Havre et al (2002), called information visualization. Research Results At the end of the research the following outcomes represented below are expected to be generated. A graph will be plotted to highlight the sentiments generated especially in the wake of the turbulent earthquake that occurred a little while before the official opening of the 2008 International Olympic Games hosted in Beijing, China. The X-axis of the graph will capture the dates where as the resultant sentiments will be presented on the Y-axis. The main sentiments expressed here are shock, anxiety and despair. Conclusion The research will deal with analyzing momentary trends in sentiments generated from the pre-Olympics euphoria as well as the aftermath. Qualitative and quantitative

Company Profile of Sony Essay Example for Free

Company Profile of Sony Essay Company Profile Sony is synonymous with consumer electronics. Its especially big in TVs and game consoles like PlayStation3. Officially named Sony Kabushiki Kaisha, the company designs, develops, manufactures, and sells a host of electronic equipment, instruments, and devices for consumer, professional, and industrial markets. Professional products include semiconductors and components. A top global media conglomerate, Sony boasts additional assets in the areas of music (Sony Music Entertainment), film (Sony Pictures Entertainment and Sony Digital Production), DVDs (Sony Pictures Home Entertainment), and TV (Sony Pictures Television). Sony also has several financial services businesses and an advertising agency in Japan. History Sony found its beginning in the wake of World War II. In 1946, Masaru Ibuka started an electronics shop in a bomb-damaged department store building in Tokyo. The company had $530 in capital and a total of eight employees. The next year, he was joined by his colleague, Akio Morita, and they founded a company called Tokyo Tsushin Kogyo (Tokyo Telecommunications Engineering Corporation). The company built Japans first tape recorder, called the Type-G. In 1958 the company name was changed to Sony. In the early 1950s, Ibuka traveled in the United States and heard about Bell Labs invention of the transistor. He convinced Bell to license the transistor technology to his Japanese company, for use in communications. Ibukas company made the first commercially successful transistor radios.According to Schiffer, Sonys TR-63 radio cracked open the U.S. market and launched the new industry of consumer microelectronics. By the mid-1950s, American teens had begun buying portable transistor radios in huge numbers, helping to propel the fledgling industry from an estimated 100,000 units in 1955 to 5 million units by the end of 1968. Origin of name When Tokyo Tsushin Kogyo was looking for a Romanized name to use to market them, they strongly considered using their initials, TTK. The primary reason they did not is that the railway company Tokyo Kyuko was known as TKK. The company occasionally used the acronym Totsuko in Japan, but during his visit to the United States, Morita discovered that Americans had trouble pronouncing that name. Another early name that was tried out for a while was Tokyo Teletech until Akio Morita discovered that there was an American company already using Teletech as a brand name. The name Sony was chosen for the brand as a mix of two words. One was the Latin word Sonus, which is the root of sonic and sound, and the other was Sonny, a familiar term used in 1950s America to call a boy. The first Sony-branded product, the TR-55 transistor radio, appeared in 1955 but the company name did not change to Sony until January 1958. At the time of the change, it was extremely unusual for a Japanese company to use Roman letters to spell its name instead of writing it in kanji. The move was not without opposition: TTKs principal bank at the time, Mitsui, had strong feelings about the name. They pushed for a name such as Sony Electronic Industries, or Sony Teletech. Akio Morita was firm, however, as he did not want the company name tied to any particular industry. Eventually, both Ibuka and Mitsui Banks chairman gave their approval Vision To create exciting new digital entertainment experiences for consumers by bringing together cutting-edge products with latest generation content and services. Mission As a mission and goal, Sony is dedicated to providing innovative products and multimedia services that challenge the way consumers experience digital entertainment. As a digital entertainment service provider Sony wants create  new worlds via their products to give consumers new experiences that can stimulate their senses. For their computer entertainment sector their mission and goal is to find the most talented developers to produce caliber products that continually raise the standards. The firm wants to create family products that change the way they experience home entertainment such as television, gaming, and movies. To change the way families enjoy home entertainment Sonys PlayStation 3 integrates all aspects of home entertainment. The gaming console is a versatile machine where consumers can play video games, watch movies through the Blu-ray player and stream movies and shows through Netflix. The PlayStation 3 has changed the way individuals enjoy digital entertainment. Boosting Sony’s Electronics Business A key focus for Sony is to strengthen its all-important electronics business and maintain market leadership in high profile areas such as televisions, digital imaging, home video equipment and portable audio. To achieve this, Sony is pursuing three corporate initiatives: The Customer Viewpoint Initiative emphasizes the importance to staff of viewing Sony, its products and services from a customer perspective. The Technology Nr. 1 Initiative focuses on reinforcing Sony’s cutting-edge technologies in the areas targeted for maximum investment of resources, including televisions, home video equipment, digital imaging equipment and Walkman ®. The Genba Initiative aims at strengthening frontline operations (‘genba’ in Japanese) such as design locations, manufacturing facilities and sales offices. Formats and technologies Sony has historically been notable for creating its own in-house standards for new recording and storage technologies, instead of adopting those of  other manufacturers and standards bodies. Sony (either alone or with partners) has introduced several of the most popular recording formats, including the floppy disk, Compact Disc, and Blu-ray Disc. Sony delivers thrilling digital entertainment experiences by capitalising on the synergy between its electronics business, content creation capabilities and movie, music, mobile and computer games interests. As a world leader in high definition, Sony already offers an exciting range of broadcast and consumer HD products, as well as content assets that are driving the industry towards HD digitization. Sony is the only company that can deliver complete, end-to-end solutions for todays HD World. We provide the tools for our customers to create, edit, store, share and enjoy High Definition content. Sony Pictures and Sony Computer Entertainment create movies and games that maximise the full power and potential of HD while independent film makers and programme producers are encouraged to realize their unique creative vision in full Sony HD. Business units Sony offers a number of products in a variety of product lines around the world. Sony has developed a music playing robot called Rolly, dog-shaped robots called AIBO and a humanoid robot called QRIO. As of 1 April 2012, Sony is organized into the following business segments: Imaging Products Solutions (IPS), Game, Mobile Products Communications (MPC), Home Entertainment Sound (HES), Devices, Pictures, Music, Financial Services and All Other. The network and medical businesses are included in the All Other. Sony Corporation Sony Corporation is the electronics business unit and the parent company of the Sony Group. It primarily conducts strategic business planning of the group, research and development (RD), planning, designing and marketing for electronics products. Its subsidiaries such as Sony EMCS Corporation (6  plants in Japan), Sony Semiconductor Corporation (7 plants in Japan) and its subsidiaries outside Japan (Brazil, China, England, India, Malaysia, Singapore, South Korea, Thailand, Ireland and United States) are responsible for manufacturing as well as product engineering (Sony EMCS is also responsible for customer service operations). In 2012, Sony rolled most of its consumer content services (including video, music, and gaming) into the Sony Entertainment Network. Medical-related business Sony Mobile Communications AB (formerly Sony Ericsson Mobile Communications AB) is a multinational mobile phone manufacturing company headquartered in Tokyo, Japan and a wholly owned subsidiary of Sony Corporation. In 2001, Sony entered into a joint venture with Swedish telecommunications company Ericsson, forming Sony Ericsson. Initial sales were rocky, and the company posted losses in 2001 and 2002. However, SMC reached a profit in 2003. Sony Ericsson distinguished itself with multimedia-capable mobile phones, which included features such as cameras. These were unusual for the time. Despite their innovations, SMC faced intense competition from Apples iPhone, released in 2007. From 2008 to 2010, amid a global recession, SMC slashed its workforce by several thousand. Sony acquired Ericssons share of the venture in 2012 for over US$1 billion. In 2009, SMC was the fourth-largest mobile phone manufacturer in the world (after Nokia, Samsung and LG). By 2010, its market share had fallen to sixth place. Sony Mobile Communications now focuses exclusively on the smartphone market. Sony Computer Entertainment Sony Computer Entertainment is best known for producing the popular line of PlayStation consoles. The line grew out of a failed partnership with Nintendo. Originally, Nintendo requested for Sony to develop an add-on for its console that would play Compact Discs. In 1991 Sony announced the add-on, as well as a dedicated console known as the Play Station. However, a disagreement over software licensing for the console caused the  partnership to fall through. Sony then continued the project independently. Sony Pictures Entertainment Sony Pictures Entertainment, Inc. (SPE) is the television and film production/distribution unit of Sony. With 12.5% box office market share in 2011, the company was ranked 3rd among movie studios. Its group sales in 2010 were US$7.2 billion. The company has produced many notable movie franchises, including Spider-Man, The Karate Kid, and Men in Black. It has also produced popular television game shows Jeopardy! and Wheel of Fortune. Sony entered the television and film production market when it acquired Columbia Pictures Entertainment in 1989 for $3.4 billion. Columbia lives on in the Columbia TriStar Motion Picture Group, a subsidiary of SPE which in turn owns TriStar Pictures and Columbia Pictures. SPEs television division is known as Sony Pictures Television. For the first several years of its existence, Sony Pictures Entertainment performed poorly, leading many to suspect the company would sell off the division. Sony Pictures Entertainment encountered controversy in the early 200 0s. In July 2000, a marketing executive working for Sony Corporation created a fictitious film critic, David Manning, who gave consistently good reviews for releases from Sony subsidiary Columbia Pictures that generally received poor reviews amongst real critics. Sony later pulled the ads, suspended Mannings creator and his supervisor and paid fines to the state of Connecticut and to fans who saw the reviewed films in the US. In 2006 Sony started using ARccOS Protection on some of their film DVDs, but later issued a recall. Environmental record In November 2011, Sony was ranked 9th (jointly with Panasonic) in Greenpeaces Guide to Greener Electronics. This chart grades major electronics companies on their environmental work. The company scored 3.6/10, incurring a penalty point for comments it has made in opposition to energy efficiency standards in California. It also risks a further penalty point in future editions for being a member of trade associations that have commented against energy efficiency standards.Together with Philips, Sony receives the highest score for energy policy advocacy after calling on the  EU to adopt an unconditional 30% reduction target for greenhouse gas emissions by 2020. Meanwhile, it receives full marks for the efficiency of its products. In 2007, Sony ranked 14th on the Greenpeace guide. Sony fell from its earlier 11th place ranking due to Greenpeace’s claims that Sony had double standards in their waste policies.[ Since 1976, Sony has had an Environmental Conference. Sonys policies address their effects on global warming, the environment, and resources. They are taking steps to reduce the amount of greenhouse gases that they put out as well as regulating the products they get from their suppliers in a process that they call green procurement. Sony has said that they have signed on to have about 75 percent of their Sony Building running on geothermal power. The Sony Take Back Recycling Program allow consumers to recycle the electronics products that they buy from Sony by taking them to eCycle (Recycling) drop-off points around the U.S. The company has also developed a biobattery that runs on sugars and carbohydrates that works similarly to the way living creatures work. This is the most powerful small biobattery to date.

The Heart Disease Prediction System Computer Science Essay

The Heart Disease Prediction System Computer Science Essay There are enormous amount of data available from medical industry which could be useful for medical practitioners when it is used for discovering hidden pattern with help of existing data mining techniques. The basic medical records from a patients profile can be useful in identifying hidden pattern with data mining techniques. In this paper, NaÃÆ'Â ¯ve Bayes algorithm to predict heart disease is implemented with basic records of patients like age, sex, heart rate, blood pressure etc., from a sample dataset. The benefits, limitations, and technical details of this implementation will also be discussed in this paper. 1 Introduction Over these years in medical history, many types of medical problems have been identified and many data are available regarding a particular problem. But not all the medical data are same, but there are many patterns hidden inside those data which needs to be identified. Data mining techniques could help identify these hidden patterns by knowledge discovery. In the medical field, patients health issues are predicted by doctors intuition or experience [2] where the knowledge rich data is suppressed which results in high medical expenses and unnecessary medical tests. In recent years, there are many researches being conducted in order to find the hidden pattern from basic medical data [1]. Identifying these hidden pattern would result in a developing an efficient decision making system in medical industry which aide as a tool to support doctors decision making or at least serve as a prediction system for any medical issues. In this paper, we have taken into consideration of heart disease and predict it using the set of data that are already in existence with the help of data mining technique. The algorithm that we have chosen is the NaÃÆ'Â ¯ve Bayes algorithm, this algorithm is ideal for a vast amount of database that may contain hundreds and thousands of rows and columns. The NaÃÆ'Â ¯ve Bayes algorithm provides the intended output faster and more accurate as the number of data in the database increase. 1.1 Problem Scenario There are only few decision support systems available in medical industry whose functionalities are very limited. As mentioned earlier, medical decisions are made with doctors intuition and not from the rich data from the medical database. Wrong treatment due to misdiagnosis causes serious threat in medical field. In order to solve these issues data mining solution was with help of medical databases was introduced. 1.2 Related Work There are many techniques available to discover knowledge from medical database [1]. Researchers at Southern California used data mining technique to discover the success and failure of back surgery in order to improve medical treatment [3]. Shouman et al [4] implemented predictive data mining to diagnose heart disease of patients. Palaniappan et al [2] developed a prototype Intelligent Heart Disease Prediction System (IHDPS), using data mining techniques. 1.3 Objective In this paper, NaÃÆ'Â ¯ve Bayes algorithm to predict heart disease is implemented with basic records of patients like age, sex, heart rate, blood pressure etc., from a sample dataset. Based on the literature survey NaÃÆ'Â ¯ve Bayes algorithm was found to be an effective technique. The probabilistic method helped in finding the converse probability of the conditional relationship. The dependence relation may exist between two attributes of data set which can be determined with this algorithm. 2 Data Preparation In order to implement the algorithm, a medical data was required. The sample dataset used for the purpose of implementation of algorithm was obtained from Cleveland Clinic Foundation. The sample of dataset is shown in the below figure (Figure1.) C:UsersMadan KumarDesktopUntitled2.jpg Figure1. Sample dataset 2.1 Dataset Source The Cleveland institute medical data was downloaded from website of University of California, Irvine. 2.2 Dataset Attributes The dataset consists of 16 attributes. The last attribute of dataset consists of value 0 and 1. The value 0 indicates that the patient does not have heart disease whereas 1 indicates that the patient has a heart disease. The prediction of algorithm can be verified with this value while evaluating the algorithm. The first 15 attributes are shown in the figure2. C:UsersMadan KumarDesktopattri.jpg Figure2. Dataset attributes 3 Program Architecture The program was implemented using JAVA. Apache TOMCAT server and MySQL Database is also used. The NaÃÆ'Â ¯ve Bayes algorithm has three class files: Calculation.java, Prediction.java, and Detection.java. Detection.java reads the data file from the source path and stores the attributes into temporary array list. The mean and standard deviation values calculations are performed and probability calculation is also done in Prediction.java. All the dataset attributes are defined in calculation.java where mean and standard deviation of attributes were calculated. The calculation.java calls the other two classes while executing the program. Figure3 represents the program architecture. C:UsersKirubanidhyDesktopArchitecture.jpg Figure3. Architecture 3.1 Building and running a Demo TOMCAT server is used to present the output in web based form. The output will run in localhost. The MySQL database is used to identify the patient records. At the execution point, the local host is accessed and 15 questions will be displayed which will be obtained from user and algorithm will be called to calculate and predict the disease possibility on that person. A report will be generated at the end of the demo which says if the person is predicted with heart disease or not. In general, 1. Obtains the values from user. 2. Reads the data file. 3. Calls the algorithm and calculates mean, deviation, and probability of attributes. 4. Generates a report displaying the values given with the prediction of disease. 4. Implementation All the attributes of dataset is of a numerical value that has some meaning. The meaning of dataset attributes are as shown in figure2. Example: the attributes sex is denoted with values 1 and 0 where 1 denotes Male and 0 denote Female. Fasting blood sugar values are also denoted using 1 and 0 where 1 denotes >120mg of fasting blood sugar level and 0 denotes These values from the data file are accessed by the NaÃÆ'Â ¯ve Bayes algorithm. The values 0 and 1 are extracted from data file and stored to an array list for each attribute e.g. age array list, sex array list, and chest pain type array list etc., in order to perform calculation. Here, the values are defined on what those values stands for before storing to the array list. The sample of the interface (for obtaining slope value) is shown in figure4. Here the un-sloping, flat, and down- sloping represents the value 1, 2, and 3 respectively. C:UsersMadan KumarDownloadsUntitled.jpg Figure 4. Interface Sample C:UsersMadan KumarDownloadsUntitled2.jpg Figure5. Sample of report format 5. Modules Description Analyzing the Data set The attribute Diagnosis was identified as the predictable attribute with value 1 for patients with heart disease and value 0 for patients with no heart disease. The attribute PatientID was used as the key; the rest are input attributes. It is assumed that problems such as missing data, inconsistent data, and duplicate data have all been resolved. Naives Bayes Implementation in Mining Bayes Theorem finds the probability of an event occurring given the probability of another event that has already occurred. If B represents the dependent event and A represents the prior event, Bayes theorem can be stated as follows. 5.2.1 Bayes Theorem Prob (B given A) = Prob (A and B)/Prob (A) To calculate the probability of B given A, the algorithm counts the number of cases where A and B occur together and divide it by the cases where A occurs alone. Applying NaÃÆ'Â ¯ve Bayes to data with numerical attributes, predict the class using NaÃÆ'Â ¯ve Bayes classification: Figure6 (a) Top Mean (b) Bottom Standard Deviation Figure6 (c) Laplace Transform 6. Evaluation User enters the values for the questionnaire to find out whether the patient has a heart disease or not. By feeding sample data from the dataset and performing the mining operations with the NaÃÆ'Â ¯ve Bayes algorithm, it is found out that the NaÃÆ'Â ¯ve Bayes algorithm gives 95% probability in predicting if patient have heart disease or not. 95% accuracy is quite good to use as a decision support system. The figure shows the accuracy of NaÃÆ'Â ¯ve Bayes algorithm (figure7). The figure shows the highest probability of correct predictions and lowest probability of incorrect predictions. C:UsersMadan KumarDesktopUntitled1.jpg Figure7. Model Results of three algorithms [2] 7. Limitations Apart from the benefits like probabilistic approaches and fast reliable algorithm of NaÃÆ'Â ¯ve Bayes, the serious shortcoming of the algorithm is its ability in handling small datasets. NaÃÆ'Â ¯ve Bayes classifier requires relatively large dataset to obtain best results. Yet, studies showed that Naive Bayes algorithm outperforms other algorithms in accuracy and efficiency. Notable limitation of this paper is the usage of small dataset. This dataset can be used for training or testing purpose only. Also the dataset could include more attributes for a more effective prediction in supporting clinical decisions. 8. Future Work The algorithm is working well with this sample dataset. Implementing the algorithm with large dataset could give better results which can aid as a supporting tool in making medical decisions. In future, other possible algorithms could be implemented where efficiency of all algorithms could be analyzed to decide on best suitable technique in terms of speed, reliability, and accuracy. 9. Conclusion In this paper, NaÃÆ'Â ¯ve Bayes algorithm is the only algorithm used for calculation of attributes and prediction. Efficiency and accuracy of the algorithm in predicting were discussed. Designing effective models are constrained by size of the datasets and noisy, incorrect, missing data values. The prototype developed so far has been generally tested by computer experts and not by the doctors. For effective understanding of the health issues, medical experts have to work collaboratively and test the prototypes in order to implement the system in real life to support medical experts in taking clinical decisions.

Defective Senses in Eliots The Cocktail Party Essay -- Eliot The Cock

Defective Senses in Eliot's The Cocktail Party T.S. Eliot's play The Cocktail Party, among all its banal or peculiar occurrences, is laced with images of defective senses and perception, particularly of sight. The muddle of reality and illusion confounds the main characters, and their attempts to escape drive the plot. Within five lines of the play's beginning we are confronted with defective senses: "You haven't been listening," (p. 9) complains Alex to the confused Julia when she asks about the tigers in his story. Julia exhibits another confused faculty, that of taste: at first she claims "What's that? Potato crisps? No, I simply can't endure them," (p. 15), but later says "The potato crisps were really excellent" (p. 21). Soon she adds sight to the list: "I must have left my glasses here, / And I simply can't see a thing without them.... / I'm afraid I don't remember the colour, / But I'd know them, because one lens is missing" (p. 33). Even with her glasses, Julia's sight will be impaired. And the glasses turn out to have been in her handbag all along. Yet Julia's glasses, though often lost, through their very existence allow her to see better. The spectacles may indeed be a symbol for the play's theme of blindness, but for Julia they provide an excuse to "see" more -- to spy on her companions , as she admits when she says "Left anything? Oh, you mean my spectacles. / No, they're here. Besides, they're no use to me. / I'm not coming back again this evening" (p. 86). The other characters of Eliot's play all exhibit their own failings of perception. Alex finds no mangoes or curry powder in Edward's kitchen, only eggs -- no exotic or intense tastes, only the bland and prosaic. Alex says of his egg concoction that ... ...cent obliviousness "may remember the vision they have had" (p. 139) -- but is "vision" here an apparition or a way of seeing? Do those who retreat from Celia's discovery abandon a dream, or an entire sense? Reilly claims the retreat to normal life "I could describe in familiar terms / Because you have seen it, as we all have seen it" (p. 141), but, if Celia presses on, "the destination cannot be described.... You will journey blind" (p. 141) -- our normal senses fail us, for we need some higher perception. An illusion or mirage is a failure of vision, so what of vision and mortal existence, whose illusion Celia has pierced? Such higher senses, perhaps, belong to the Guardians of Eliot's half-hidden mythos. True sight may be granted only through travel "on the way of illumination" (p. 147). Works Cited: Eliot, T.S.,The Cocktail Party, Faber and Faber, 1950.