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Data mining

Most popular at the top

  • Ensemble Methods in Data Miningby Giovanni Seni; John Elder

    Morgan & Claypool Publishers 2010; US$ 35.00

    Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection to recommendation... more...

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

    Wiley 2015; US$ 140.00

    Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified ?white box? approach to data mining methods... more...

  • Data Miningby Jiawei Han; Micheline Kamber; Jian Pei

    Elsevier Science 2011; US$ 74.95

    Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the... 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...

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

    CRC Press 2015; US$ 119.95

    As today?s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. ... more...

  • Data Modeling with ERwinby M. Carla DeAngelis

    Pearson Education 2000; US$ 31.99

    From the first chapter, author Carla DeAngelis skillfully explains the normally complex concepts of Data Modeling-a critical success factor in the information-based enterprises of today. Carla tackles complex topics such as Logical Data Models, Modeling Methodologies, Relationships, and Attributes in a clear style that makes it simple for anyone to... more...

  • Active Miningby H. Motoda

    IOS Press 2002; US$ 97.00

    Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences. more...

  • Data Miningby Jiawei Han; Micheline Kamber; Jian Pei

    Elsevier Science 2006; US$ 16.95

    Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems,... more...

  • Advanced Methods for Knowledge Discovery from Complex Databy Sanghamitra Bandyopadhyay; Ujjwal Maulik; Larry B. Holder

    Springer 2006; US$ 169.00

    Knowledge discovery takes the raw results from data mining (the process of extracting trends or patterns from data) and transforms them into useful and understandable information. This book covers introductory material on the knowledge discovery process, advanced issues, and tools and techniques. more...

  • Mining Sequential Patterns from Large Data Setsby Wei Wang; Jiong Yang

    Springer-Verlag New York Inc 2006; US$ 169.00

    The focus of this book is sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information has been of great interest for analyzing the sequential data to find its inherent characteristics. Examples of sequential patterns include... more...