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Data mining

  • Web Metrics for Library and Information Professionalsby David Stuart

    Facet Publishing 2015; US$ 79.92

    Dr David Stuart is a researcher in the Centre for e-Research (CERCH) at King?s College London, and an honorary research fellow in the Statistical Cybermetrics Research Group at the University of Wolverhampton, where he was previously Web 2.0 Research Fellow. He has a PhD in information science and regularly writes about library and information science... more...

  • Recommendation and Search in Social Networksby Özgür Ulusoy; Abdullah Uz Tansel; Erol Arkun

    Springer International Publishing 2015; US$ 109.00

    This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication,... more...

  • Learning Apache Mahoutby Chandramani Tiwary

    Packt Publishing 2015; US$ 35.99

    If you are a Java developer and want to use Mahout and machine learning to solve Big Data Analytics use cases then this book is for you. Familiarity with shell scripts is assumed but no prior experience is required. more...

  • Data Mining and Predictive Analyticsby Daniel T. Larose; Chantal D. Larose

    Wiley 2015; US$ 140.00

    Daniel T. Larose is Professor of Mathematical Sciences and Director of the Data Mining programs at Central Connecticut State University. He has published several books, including Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage (Wiley, 2007) and Discovering Knowledge in Data: An Introduction to Data Mining (Wiley,... more...

  • Social Big Data Miningby Hiroshi Ishikawa

    CRC Press 2015; US$ 99.95

    Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.... more...

  • Improving the User Experience through Practical Data Analyticsby Mike Fritz; Paul D. Berger

    Elsevier Science 2015; US$ 49.95

    Improving the User Experience through Practical Data Analytics is your must-have resource for making UX design decisions based on data, rather than hunches. Authors Fritz and Berger help the UX professional recognize and understand the enormous potential of the ever-increasing user data that is often accumulated as a by-product of routine UX tasks,... more...

  • Big Databy Kuan-Ching Li; Hai Jiang; Laurence T. Yang; Alfredo Cuzzocrea

    CRC Press 2015; US$ 119.95

    Scalable Indexing for Big Data Processing; Hisham Mohamed and Stephane Marchand-Maillet Scalability and Cost Evaluation of Incremental Data Processing using Amazon's Hadoop Service; Xing Wu, Yan Liu, and Ian Gorton Singular Value Decomposition, Clustering, and Indexing for Similarity Search for Large Data Sets in High-Dimensional Spaces; Alexander... more...

  • Guide to High Performance Distributed Computingby K.G. Srinivasa; Anil Kumar Muppalla

    Springer International Publishing 2015; US$ 79.99

    This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies such as Hadoop, Scalding and Spark. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance... more...

  • Practical Business Analytics Using SASby Shailendra Kadre; Venkat Reddy Konasani

    Apress 2015; US$ 41.99

    Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is... more...

  • Automatic Design of Decision-Tree Induction Algorithmsby Rodrigo C. Barros; André C. P. L. F. de Carvalho; Alex A. Freitas

    Springer International Publishing 2015; US$ 54.99

    Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning, and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless... more...