...REVOLUTION ANALYTICS WHITE PAPER Advanced ‘Big Data’ Analytics with R and Hadoop 'Big Data' Analytics as a Competitive Advantage Big Analytics delivers competitive advantage in two ways compared to the traditional analytical model. First, Big Analytics describes the efficient use of a simple model applied to volumes of data that would be too large for the traditional analytical environment. Research suggests that a simple algorithm with a large volume of data is more accurate than a sophisticated algorithm with little data. The algorithm is not the competitive advantage; the ability to apply it to huge amounts of data—without compromising performance—generates the competitive edge. Second, Big Analytics refers to the sophistication of the model itself. Increasingly, analysis algorithms are provided directly by database management system (DBMS) vendors. To pull away from the pack, companies must go well beyond what is provided and innovate by using newer, more sophisticated statistical analysis. Revolution Analytics addresses both of these opportunities in Big Analytics while supporting the following objectives for working with Big Data Analytics: 1. 2. 3. 4. Avoid sampling / aggregation; Reduce data movement and replication; Bring the analytics as close as possible to the data and; Optimize computation speed. First, Revolution Analytics delivers optimized statistical algorithms for the three primary data management paradigms being employed to address...
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...Research Proposal Provisional title- Social media and the hidden spaces of online identity management Topic: Social Networking and Interaction This project is concerned with computer mediated communication (CMC) between individuals via the social networking platform, Facebook. Created by Mark Zuckerberg in 2004, Facebook is a social networking forum wherein individuals can share photographs, personal information, conversations and friends (Buckman, 2005). Although other online sites such as MySpace, Friendster and Bebo are also designed to carry out such functions, Facebook is generally considered to be the leading site of its kind, currently consisting of over a billion users worldwide (Facebook, 2013). Facebook has increasingly become deeply integrated into user’s daily routines (Debatin, 2009). Indeed, a recent study found that students spend an average of 38 minutes a day ‘Face-booking’ (Muise et al, 2009). This equates to almost 9 days every year being dedicated to communication activities via the medium. With the internet increasingly being accessed via mobile devices, anytime, anyplace, it is likely that this figure will increase over time. With these ideas in mind, it is interesting to consider sites such as Facebook as capable of revealing important information about how young adults interact with one another in the information age. Platform functions such as wall posts, comments, statuses, private messages and so on provide a vast space for a number...
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...INTRODUCTION TO BUSINESS ANALYTICS Sumeet Gupta Associate Professor Indian Institute of Management Raipur Outline • Business Analytics and its Applications • Analytics using Data Mining Techniques • Working with R BUSINESS ANALYTICS AND ITS APPLICATIONS What is Business Analytics? Analytics is the use of: data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight about their business operations and make better, fact-based decisions. Evolution of Business Analytics? • Operations research • Management science • Business intelligence • Decision support systems • Personal computer software Application Areas of Business Analytics • Management of customer relationships • Financial and marketing activities • Supply chain management • Human resource planning • Pricing decisions • Sport team game strategies Why Business Analytics? • There is a strong relationship of BA with: • profitability of businesses • revenue of businesses • shareholder return • BA enhances understanding of data • BA is vital for businesses to remain competitive • BA enables creation of informative reports Global Warming Poll Winner Sales Revenue Predicting Customer Churn Credit Card Fraud Loan Default Prediction Managing Employee Retention Market Segmentation Medical Imaging Analyzing Tweets stylus ...
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... Excel is an excellent reporting and dash boarding tool. For most business projects, even if you run the heavy statistical analysis on different software but you will still end up using Excel for the reporting and presentation of results. SAS: SAS is the 5000 pound gorilla of the analytics world and claims to be the largest independent vendor in the business intelligence market. It is the most commonly used software in the Indian analytics market despite its monopolistic pricing. SAS software has wide ranging capabilities from data management to advanced analytics. SPSS Modeler (Clementine): SPSS Modeler is a data mining software tool by SPSS Inc., an IBM company. It was originally named SPSS Clementine. This tool has an intuitive GUI and its point-and-click modelling capabilities are very comprehensive. Salford systems: provides a host of predictive analytics and data mining tools for businesses. The company specialises in classification and regression tree algorithms. Its MARS algorithm was originally developed by world-renowned Stanford statistician and physicist, Jerome Friedman. The software is easy to use and learn. KXEN: is one of the few companies that is driving automated analytics. Their products, largely based on algorithms developed by the Russian mathematician Vladimir Vapnik, are easy to use, fast and can work with large amounts of data. Some users may not like the fact that KXEN works like a ‘black box’ and in most cases, it is difficult to understand and explain...
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...SMS Text Analysis: Language, Gender and Current Practices Muhammad Shaban Rafi1 Abstract This article tests the assumption that SMS language is like a pidgin in every speech community. The article also examines the assumption that a great motor of SMS lives among females whose lexical and morpho-syntactic choices are different from males. It further speculates influence of SMS language on language of media. One hundred messages were taken randomly from 20 cell phones and perceptions of 25 males and 25 females were recorded on an ordinal scale for analysis. The text was analyzed to look into lexicology, morphology and syntactic levels of texters, and influence of SMS on language of commercials. The results show that a novice intelligible language has evolved through SMS, which is influencing language of media. A significant difference is found between male and female texters’ linguistic properties. Introduction Short Message Service (SMS) language tends to create a novice language, which has become an integral part of the multilingual world. It pursues simple sentences structure for communication. It is assumed that SMS syntactic and lexical choices by the texters are not so different from a child language. A child expresses his feelings through simple present progressive tense e.g. mom eating for ‘Mom is eating’ and Eating for ‘I am eating’. The empirical data show that SMS language over-looks orthographic and syntactic rules of a language with a great emphasis...
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...An Introduction to R Notes on R: A Programming Environment for Data Analysis and Graphics Version 3.2.0 (2015-04-16) W. N. Venables, D. M. Smith and the R Core Team This manual Copyright c Copyright c Copyright c Copyright c Copyright c is for R, version 3.2.0 (2015-04-16). 1990 W. N. Venables 1992 W. N. Venables & D. M. Smith 1997 R. Gentleman & R. Ihaka 1997, 1998 M. Maechler 1999–2015 R Core Team Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Core Team. i Table of Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 Introduction and preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 2 Intrinsic attributes: mode and length . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
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...store and manipulate data in a manner well suited to the needs of users who want to perform statistical analyses on the data. Statistical databases have some special characteristics and requirements that are not supported by existing commercial database management systems. For example, while basic aggregation operations like SUM and AVG are part of SQL, there is no support for other commonly used operations like variance and co-variance. Such computations, as well as more advanced ones like regression and principal component analysis, are usually performed using statistical packages and libraries, such as SAS [1] and SPSS [2]. From the end user’s perspective, whether the statistical calculations are being performed in the database or in a statistical package can be quite transparent, especially from a functionality viewpoint. However, once the datasets to be analyzed grow beyond a certain size, the statistical package approach becomes infeasible, either due to its inability to handle large volumes of data, or the unacceptable computation times which make interactive analysis impossible. With the increasing sophistication of data collection instrumentation, and the cheap availability of large volume and high speed storage devices, most applications are today collecting data at unprecedented rates. In addition, an increasing number of applications today want the ability to perform interactive and on-line analysis of this data in real time, such as “what-if” analysis in forecasting. The...
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...UNIVERSITY) SCHOOL OF COMPUTING ANALYSIS ON WEB DATA-OPINION MINING BATCH NO:07 GUIDED BY:Dr.B.SAN ACKNOWLEDGEMENT I have immense pleasure in expressing my heartfelt thanks to our Honourable Vice Chancellor Prof. R. Sethuraman for the benevolent advice and guidance during my tenure in the college. I wish to express my profound gratitude to Dr. S. Vaidhyasubramaniam, Dean of Planning & Development, Dr. S. Swaminathan, Director of CeNTAB and Prof....
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...ANXIETY AND SPEAKING ENGLISH AS A SECOND LANGUAGE AMONG MALE AND FEMALE BUSINESS STUDENTS IN UNIVERSITI INDUSTRI SELANGOR Ayu Rita Bt Mohamad and Nadhia Dalila Bt Ab Wahid Industrial University of Selangor Jln Timur Tambahan, 456000 Bestari Jaya E-mail: ayurita@yahoo.com ABSTRACT This study explores the nature and anxiety of speaking English as a second language among male and female Business Degree students in Industrial University of Selangor (Unisel), Berjuntai Bestari, Selangor. This study attempts to identify potential sources of anxiety relevant to the students’ affective needs or concerns in an institution of higher learning through the use of an in-depth qualitative questionnaire. As the pre-administered questionnaire findings indicate, the differences in the level of language anxiety exhibited by the participants seem to vary by gender. Using various studies by previous researchers of language anxiety as a theoretical guideline for data collection and analysis, this study also discusses some of the influences or impact of anxiety-provoking factors on second language learning, along with some implications for further research on language anxiety. 1.0 INTRODUCTION 1.1 Introduction Anxiety is a negative way to present human feelings. When we are anxious, we feel nervous, worried, and fearful. We struggle, tremble, perspire, and our hearts beat quickly. In general, anxiety can be defined as a complex concept dependent upon not only on one’s feelings of selfefficacy...
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...technological leaps. The study of ‘the media’ comes under the remit of media studies from perspectives such as their production and consumption, as well as their aesthetic form. The academic area of media studies cuts across a number of disciplines including communication, sociology, political science, cultural studies, philosophy and rhetoric, to name but a handful. Meanwhile, the object of study, ‘the media’, is an ever-changing and ever-growing entity. The study of ‘the media’ also comes under the radar of applied linguistics because at the core of these media is language, communication and the making of meaning, which is obviously of great interest to linguists. As Fairclough (1995a: 2) points out, the substantively linguistic and discoursal nature of the power of the media is a strong argument for analysing the mass media linguistically. Central to the connection between media studies and studies of the language used in the media (media discourse studies) is the importance placed on ideology. A major force behind the study of ideology in the media is Stuart Hall (see, for example, Hall 1973, 1977, 1980, 1982). Hall (1982), in his influential paper, notes that the study of media (or ‘mass communication’) has had a chequered past. He charts its early years from the 1940s to the 1960s as being dominated by what he terms sociological approaches of ‘mainstream’ American behavioural science (Hall’s emphasis). From the 1960s began the emergence of an alternative paradigm, a...
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...A review of the positivist and interpretive paradigms and discussion on how they are both related to the proposed study 'Chinese culture on learning and the use of meta-cognitive language-learning strategies at an institute of vocational education in Hong Kong'. By Manfred Wu "I certify that this work is entirely my own and has not been accepted as part of a submission to another degree course" _________________________ Word Length: 5,964 Abstract This paper begins with a review of the positivist and interpretive paradigms. After the description of a proposed study on Chinese values on learning and use of meta-cognitive language-learning strategies (MCLLS), how the study emerges from the two paradigms is discussed. Discussions show that the aims of the study of gathering descriptive data and exploring relationships between the two variables as well as the use of survey method are more pertained to the positivist paradigm as it shares features with the paradigm including a high degree of control over responses, use of statistics both for descriptive and for determining relationships and researchers being detached by adopting the role of an objective and passive informant. Other aims of generating insights on the two selected concepts, collecting information from respondents' frame of reference, focusing on the whole institutional setting and the use of semi-structured interview are more pertained to the interpretive paradigm. It is because...
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...TWITTER ANALYSIS (IN RSTUDIO USING R PROGRAMMING LANGUAGE) Prepared By: KAIFY RAIS in.linkedin.com/pub/kaify-rais/31/346/886/ Acknowledgement This project is done as a final project as a part of the training course titled “Business Analytics with R”. I am really thankful to our course instructor Mr. Ajay Ohri, Founder, DecisionStats, for giving me an opportunity to work on the project “Twitter Analysis using R” and providing me with the necessary support and guidance which made me complete the project on time. I am extremely grateful to him for providing me the necessary links and material to start the project and understand the concept of Twitter Analysis using R. In this project “Twitter Analysis using R” , I have performed the Sentiment Analysis and Text Mining techniques on “#Kejriwal “. This project is done in RStudio which uses the libraries of R programming languages. I am really grateful to the resourceful articles and websites of R-project which helped me in understanding the tool as well as the topic. Also, I would like to extend my sincere regards to the support team of Edureka for their constant and timely support. Table of Contents Introduction 4 Limitations 4 Tools and Packages used 5 Twitter Analysis: 6 Creating a Twitter Application 6 Working on RStudio- Building the corpus 8 Saving Tweets 11 Sentiment Function 12 Scoring tweets and adding column 13 Import the csv file 14 Visualizing the tweets 15 Analysis & Conclusion...
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...Genre Analysis Report for Management of Information system This report aims at examining components, such as the content, organization, and grammar, constructed in one published research article studying security issues in mobile payment from customers’ viewpoint. This paper delivers a clever idea, the idea that the author focuses on studying security issues in mobile payment from perspective of customer even though the previous researchers addressed technical details of security from the perspective of merchants or the mobile payment service providers. Through the analysis of the paper, I have approached security issues in e-payment systems, which is the subject of my research paper, with another aspect, so that I could conduct my research paper to borrow the idea in security issues during the use of e-payment systems. I proceeded to analyze the selective article, following items, such information and language structures, provided by the Genre Analysis Checklist to collect evidence about the organizational and grammatical features employed in the article. Citation Linck, K., Pousttchi, K., & Wiedemann, D. G.( 2006). Security Issues in Mobile Payment from the Customer Viewpoint. In Proceedings of the 14th European Conference on Information Systems (ECIS 2006), Goteborg, Schweden, 1-11. Introduction The author insists that mobile payment will play an important role in mobile commerce by using the citation of other researchers in the first sentence. And in second...
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...1. Introduction Java language is a hybrid language neither compiled, nor interpreted. The Java language aims to provide the speed of a compiled language, as well as portability of an interpreted language. Because a java code can run on any platform with Java Virtual Machine installed some drawbacks are introduced in terms speed of the execution compared to compiler languages such as C and C++. To make the java code as portable as it is, after compilation, the java code is converted into a bytecode. A bytecode is then interpreted by the Java Virtual Machine. To take advantage of Java language and to speed up performance, sophisticated optimization techniques must be utilized. Among many methods of optimizations, such as directly manipulating the bytecode, or annotating the bytecode, “The Soot Framework” is a well developed tool for optimizing the java bytecode to improve performance. The Soot Framework manipulates and modifies any java code and generates an optimized bytecode. The optimized bytecode can be run on any Java Virtual Machine. The soot framework is designed in a way that java code can be optimized module by module, or the whole program. 2. The project Our team consists of Shivshankar Kanawade, Batbold Myagmarjav, and Taeghyun Kang. The project is to research the possibility of automatically detecting shared variables in a concurrent program utilizing The Soot Framework. The team also seeks to identify the shared variable characteristics with the help of intermediate...
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...or hiring their employees from overseas, creating a diversity of workforce. A diversified workforce will create cross-cultural differences leading to cross-cultural communication. This research aims to analyze the barriers of cross-cultural communication in electronic-based companies. The subjects for this study, comprising company operators and middle to top management were randomly selected from electronic-based companies domiciled in Northern Peninsular Malaysia. This study adopted a quantitative approach method, where questionnaires were distributed among 200 employees. Analysis of data compiled was carried out using the SPSS version 20.0 mode. Through an in-depth analysis and application of this study, there is a bigger impact of multinational firm communication in the cross-cultural communication. In addition, the dimensions of national cultures, high and low context communication, language and communication system have no apparent effects on the cross-cultural communication. A lesson to company managers is that issues such as misunderstanding, miscommunication and misinterpretation will arise in the workplace if managers and employees do not fully understand the cultures of each other. Keywords: Cross culture management, Communication system,...
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