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Data Mining

Most popular at the top

  • Text Analytics with Pythonby Dipanjan Sarkar

    Apress 2016; US$ 37.16

    Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python  teaches you the techniques... more...

  • Data Mining with Rby Luis Torgo

    CRC Press 2016; US$ 84.95

    Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction... more...

  • Learn Business Analytics in Six Steps Using SAS and Rby Subhashini Sharma Tripathi

    Apress 2016; US$ 31.85

    Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster. Learn Business Analytics in Six Steps Using SAS and R teaches you how to solve problems and... more...

  • Recent Advances on Soft Computing and Data Miningby Tutut Herawan; Rozaida Ghazali; Nazri Mohd Nawi; Mustafa Mat Deris

    Springer International Publishing 2016; US$ 275.03

    This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The book is based... more...

  • Pro Apache Phoenixby Shakil Akhtar; Ravi Magham

    Apress 2016; US$ 24.41

    Leverage Phoenix as an ANSI SQL engine built on top of the highly distributed and scalable NoSQL framework HBase. Learn the basics and best practices that are being adopted in Phoenix to enable a high write and read throughput in a big data space.  This book includes real-world cases such as Internet of Things devices that send continuous streams... more...

  • Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunitiesby Francesco Corea

    Springer International Publishing 2017; US$ 45.65

    Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial... more...

  • Preference Learningby Johannes Fürnkranz; Eyke Hüllermeier

    Springer Berlin Heidelberg 2010; US$ 138.04

    The first book dedicated to this new branch of machine learning and data mining, this comprehensive treatment, which covers everything from label ranking to preference learning and recommender systems, will be required reading for researchers working in AI. more...

  • FileMaker 8.5: Integrating the Webby Susan Prosser

    O'Reilly Media 2006; US$ 7.99

    FileMaker Pro, famed for power and ease of use, has added a suite of new features that can seriously boost your database productivity. This tutorial helps you take full advantage of the fresh stuff. It focuses on FileMaker's terrific new tool for integrating the Web with your databases: the Web Viewer. Step-by-step instructions help you create a... more...

  • The Evolution of Data Productsby Mike Loukides

    O'Reilly Media 2011; US$ 0.00

    This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real changes... more...

  • Statistical and Machine Learning Approaches for Network Analysisby Matthias Dehmer; Subhash C. Basak

    Wiley 2012; US$ 127.00 US$ 110.07

    Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different... more...