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Forthcoming Data Preparation & Mining Books

You are currently browsing 1–10 of 36 forthcoming new books in the subject of Data Preparation & Mining — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books

  1. 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...

    To Be Published September 3rd 2014 by Chapman and Hall/CRC

  2. Ambient Diagnostics

    By Yang Cai

    Ambient Diagnostics addresses innovative methods for discovering patterns from affordable devices, such as mobile phones, watches, cameras, and game interfaces, to interpret multimedia data for personal health monitoring and diagnosis. This is the first comprehensive textbook for multidisciplinary...

    To Be Published September 3rd 2014 by CRC Press

  3. Machine Learning

    An Algorithmic Perspective, Second Edition

    By Stephen Marsland

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

    A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning...

    To Be Published October 6th 2014 by Chapman and Hall/CRC

  4. Visualization Analysis and Design

    By Tamara Munzner

    Series: AK Peters Visualization Series

    Learn How to Design Effective Visualization Systems Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for...

    To Be Published October 7th 2014 by A K Peters/CRC Press

  5. 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

    Featuring contributions from leading experts, this volume provides an up-to-date look at large-scale machine learning. It comprehensively covers the latest research and advances in regularization, sparsity, and compressed sensing; convex and large-scale optimization; and kernel methods and SVMs....

    To Be Published October 23rd 2014 by Chapman and Hall/CRC

  6. 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...

    To Be Published November 2nd 2014 by CRC Press

  7. Fundamentals of Database Indexing and Searching

    By Arnab Bhattacharya

    One of the most common and fundamental issues in large collections of data is the problem of searching for a particular piece of information efficiently. This book is the first of its kind to discuss back-end database indexing techniques that make searching efficient. It not only describes basic...

    To Be Published November 17th 2014 by Chapman and Hall/CRC

  8. Sparse Modeling

    Theory, Algorithms, and Applications

    By Irina Rish, Genady Grabarnik

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

    Sparse modeling is an important issue in many applications of machine learning and statistics where the main objective is discovering predictive patterns in data to enhance understanding of underlying physical, biological, and other natural processes. This book surveys recent advances in statistics...

    To Be Published December 3rd 2014 by CRC Press

  9. Statistics in MATLAB

    A Primer

    By MoonJung Cho, Wendy L. Martinez

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    This primer illustrates the use of MATLAB® for statistical data analysis and research. It describes functions for statistics in the main MATLAB software package, the Statistics Toolbox, and the student version of MATLAB. The capabilities in the MATLAB Statistics Toolbox have increased tremendously...

    To Be Published December 18th 2014 by Chapman and Hall/CRC

  10. High-Dimensional Statistics

    By Christophe Giraud

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

    This book provides a straightforward, up-to-date introduction to high-dimensional statistics. It avoids any unnecessary technicalities, instead focusing on the main underlying concepts in simple settings. It gives readers a strong background in high-dimensional statistics by explaining key concepts...

    To Be Published December 29th 2014 by Chapman and Hall/CRC