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Data Mining

Most popular at the top

  • Web Document Analysisby Apostolos Antonacopoulos; Jianying Hu

    World Scientific Publishing Company 2003; US$ 211.00

    This book provides the first comprehensive look at the emerging field of web document analysis. It sets the scene in this new field by combining state-of-the-art reviews of challenges and opportunities with research papers by leading researchers. Readers will find in-depth discussions on the many diverse and interdisciplinary areas within the field,... more...

  • Recent Advances in Data Mining of Enterprise Databy T. Warren Liao; Evangelos Triantaphyllou

    World Scientific Publishing Company 2008; US$ 346.00

    The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as “enterprise data”. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing... more...

  • Scaling Apache Solrby Hrishikesh Vijay Karambelkar

    Packt Publishing 2014; US$ 26.99

    This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene... more...

  • A Course in In-Memory Data Managementby Hasso Plattner

    Springer Berlin Heidelberg 2014; US$ 99.00

    Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner... more...

  • eXistby Erik Siegel; Adam Retter

    O'Reilly Media 2014; US$ 35.99

    Get a head start with eXist, the open source NoSQL database and application development platform built entirely around XML technologies. With this hands-on guide, you?ll learn eXist from the ground up, from using this feature-rich database to work with millions of documents to building complex web applications that take advantage of eXist?s many... more...

  • Healthcare Analyticsby Hui Yang; Eva K. Lee

    Wiley 2015; US$ 110.00

    With practical and realworld examples from data mining to statistics to service science to decision making, this is the first mathematically rigorous treatment of healthcare analytics.  Appropriate for practitioners, researchers, and students alike, this book reflects the rapid advances in health information technologies that have led to big data... more...

  • Hadoop: The Definitive Guideby Tom White

    O'Reilly Media 2015; US$ 42.99

    Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you?ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop... more...

  • Data Loveby Roberto Simanowski

    Matthes & Seitz Berlin Verlag 2014; US$ 9.25

    more...

  • Data Science from Scratchby Joel Grus

    O'Reilly Media 2015; US$ 33.99

    Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they?re also a good way to dive into the discipline without actually understanding data science. In this book, you?ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch . If you have an aptitude... more...

  • Statistical Pattern Recognitionby Andrew R. Webb

    Wiley 2003; US$ 195.00

    Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient pattern recognition techniques. Statistical decision... more...