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Data Mining

Most popular at the top

  • Conceptual Structures in Practiceby Pascal Hitzler; Henrik Scharfe

    Taylor and Francis 2009; US$ 119.95

    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...

  • Music Data Miningby Tao Li; Mitsunori Ogihara; George Tzanetakis

    Taylor and Francis 2011; US$ 98.95

    The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches... 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...

  • Biology in a Data-Driven Worldby Deepak Singh

    Taylor and Francis 2015; US$ 59.95

    This work offers unique insight into how biology is evolving to meet the needs of data-intensive science. It examines the history of computational science and lessons learned, discusses the evolution of biology into a data-driven science, and addresses the challenges and complexities of modern, data-driven biology. Exploring the core technological... 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...

  • Social Big Data Miningby Hiroshi Ishikawa

    Taylor and Francis 2015; US$ 99.95

    This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains... more...

  • Data Science in Rby Deborah Nolan; Duncan Temple Lang

    Taylor and Francis 2015; US$ 79.95

    This book presents case studies in statistical computing for data analysis. Each case study addresses a statistical application with a focus on comparing different computational approaches and explaining the reasoning behind them. The case studies can serve as material for instructors teaching courses in statistical computing and applied statistics.... more...