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Data mining

Most popular at the top

  • Pro Apache Hadoopby Jason Venner; Sameer Wadkar; Madhu Siddalingaiah

    Apress 2014; US$ 31.49

    Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been revised too, giving... more...

  • Research and Development in Intelligent Systems XXXIby Max Bramer; Miltos Petridis

    Springer International Publishing 2014; US$ 259.00

    The papers in this volume are the refereed papers presented at AI-2014, the Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2014 in both the technical and the application streams. They present new and innovative developments and applications, divided... more...

  • Advances in Knowledge Discovery in Databasesby Animesh Adhikari; Jhimli Adhikari

    Springer International Publishing 2014; US$ 179.00

    This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles... more...

  • Efficient Clustering of Big Data Streamsby Marwan Hassani

    Apprimus Wissenschaftsverlag 2015; US$ 37.22

    Today's applications and research issues in data mining have to deal with continuous, possibly infinite streams of data, arriving at high velocity. Web traffic, sensor measurements and stock trading data are just examples of these daily-increasing applications. This thesis presents and evaluates novel methods for an efficient subspace clustering of... more...

  • Knowledge Discovery for Business Information Systems by Witold Abramowicz; Jozef Zurada

    Springer 2000; US$ 215.00

    Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field focusing on the process of information discovery from large volumes of data. The field combines such areas as database concepts and theory, machine learning, pattern recognition, and artificial intelligence. more...

  • Tech Miningby Alan L. Porter; Scott W. Cunningham

    Wiley 2004; US$ 144.00

    Tech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting knowledge. The information provided puts new capabilities at the hands of technology managers. Using the... more...

  • Data Miningby Ian H. Witten; Eibe Frank

    Elsevier Science 2005; US$ 74.95

    As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical... more...

  • Data Mining In Time Series Databasesby Mark Last; Abraham Kandel; Horst Bunke

    World Scientific Publishing Company 2004; US$ 168.00

    Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation,... more...

  • Data Mining with SQL Server 2005by ZhaoHui Tang; Jamie MacLennan

    Wiley 2005; US$ 50.00

    Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows... more...

  • Graph-theoretic Techniques For Web Content Miningby Adam Schenker; Abraham Kandel; Horst Bunke; Mark Last

    World Scientific Publishing Company 2005; US$ 216.00

    This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. more...