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Data Preparation & Mining Books

You are currently browsing 11–20 of 99 new and published books in the subject of Data Preparation & Mining — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 2

  1. LogiQL

    A Query Language for Smart Databases

    By Terry Halpin, Spencer Rugaber

    Series: Emerging Directions in Database Systems and Applications

    LogiQL is a new state-of-the-art programming language based on Datalog. It can be used to build applications that combine transactional, analytical, graph, probabilistic, and mathematical programming. LogiQL makes it possible to build hybrid applications that previously required multiple...

    Published November 13th 2014 by CRC Press

  2. Regularization, Optimization, Kernels, and Support Vector Machines

    Edited by Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and...

    Published October 23rd 2014 by Chapman and Hall/CRC

  3. Robust Cluster Analysis and Variable Selection

    By Gunter Ritter

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications...

    Published September 2nd 2014 by Chapman and Hall/CRC

  4. Big Data Analytics Strategies for the Smart Grid

    By Carol L. Stimmel

    By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid...

    Published July 25th 2014 by Auerbach Publications

  5. Large Scale and Big Data

    Processing and Management

    Edited by Sherif Sakr, Mohamed Gaber

    Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the...

    Published June 25th 2014 by Auerbach Publications

  6. Linked Data Management

    Edited by Andreas Harth, Katja Hose, Ralf Schenkel

    Series: Emerging Directions in Database Systems and Applications

    Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections...

    Published May 1st 2014 by Chapman and Hall/CRC

  7. Big Data, Mining, and Analytics

    Components of Strategic Decision Making

    By Stephan Kudyba

    There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to...

    Published March 12th 2014 by Auerbach Publications

  8. Mining User Generated Content

    Edited by Marie-Francine Moens, Juanzi Li, Tat-Seng Chua

    Series: Social Media and Social Computing

    Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed...

    Published January 28th 2014 by Chapman and Hall/CRC

  9. Business Analytics

    An Introduction

    Edited by Jay Liebowitz

    Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing...

    Published December 19th 2013 by Auerbach Publications

  10. Multilinear Subspace Learning

    Dimensionality Reduction of Multidimensional Data

    By Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient...

    Published December 11th 2013 by Chapman and Hall/CRC