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Data Mining

Most popular at the top

  • Data Driven Marketing For Dummiesby David Semmelroth

    Wiley 2013; US$ 26.99 US$ 21.59

    Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately... more...

  • Mining the Social Webby Matthew A. Russell

    O'Reilly Media 2013; US$ 35.99

    How can you tap into the wealth of social web data to discover who?s making connections with whom, what they?re talking about, and where they?re located? With this expanded and thoroughly revised edition, you?ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub,... more...

  • Digital Analytics Primerby Judah Phillips

    Pearson Education 2013; US$ 34.99

    Learn the concepts and methods for creating economic and business value with digital analytics, mobile analytics, web analytics, and market research and social media data. In Digital Analytics Primer , pioneering expert Judah Phillips introduces the concepts, terms, and methods that comprise the science and art of digital analysis for web, site,... more...

  • Visual Business Analyticsby Jörn Kohlhammer; Dirk U. Proff; Andreas Wiener

    dpunkt.verlag 2013; US$ 52.48

    Business-Intelligence-Lösungen sind für Unternehmen unabdingbar, um Datenmengen in vertretbarer Zeit zu analysieren und daraus resultierend Entscheidungen zu treffen. Dieses Buch zeigt den Weg auf, wie aus Daten mittels Visualisierung entscheidungsrelevante Informationen für den Empfänger werden. Neue, interaktive und grafische Darstellungen tragen... more...

  • Introduction to Bio-Ontologiesby Peter N. Robinson; Sebastian Bauer

    CRC Press 2011; US$ 87.95

    Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications. The first part of the book defines ontology and bio-ontologies. It also explains the importance... more...

  • Conceptual Structures in Practiceby Pascal Hitzler; Henrik Scharfe

    CRC Press 2009; US$ 125.95

    Exploring fundamental research questions, Conceptual Structures in Practice takes you through the basic yet nontrivial task of establishing conceptual relations as the foundation for research in knowledge representation and knowledge mining. It includes contributions from leading researchers in both the conceptual graph and formal concept analysis... more...

  • Life Science Data Miningby Stephen Wong; Chung-Sheng Li

    World Scientific Publishing Company 2006; US$ 189.00

    This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science. The cutting-edge topics presented include bio-surveillance, disease outbreak detection, high throughput bioimaging,... more...

  • 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...