XML Data Mining by Andrea Tagarelli
The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.-
Intelligent Multidimensional Data Clustering and Analysis
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Emerging Methods in Predictive Analytics
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Innovative Techniques and Applications of Entity Resolution
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Graph Data Management
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Data Mining and Analysis in the Engineering Field
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Design, Performance, and Analysis of Innovative Information Retrieval
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Intelligent Techniques for Data Analysis in Diverse Settings
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Handbook of Research on Big Data Management and Applications
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Data Mining Trends and Applications in Criminal Science and Investigations
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Web Usage Mining Techniques and Applications Across Industries
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Collaborative Filtering Using Data Mining and Analysis
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Social Media Data Extraction and Content Analysis
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Mobile Technologies for Activity-Travel Data Collection and Analysis
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Web Semantics for Textual and Visual Information Retrieval
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Knowledge Discovery Practices and Emerging Applications of Data Mining
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Emerging Trends in the Development and Application of Composite Indicators
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Web Data Mining and the Development of Knowledge-Based Decision Support Systems
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Data Mining in Public and Private Sectors
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Innovative Document Summarization Techniques
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Data Science and Simulation in Transportation Research
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Data Visualization and Statistical Literacy for Open and Big Data
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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
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Data Mining in Dynamic Social Networks and Fuzzy Systems
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Advancing Cloud Database Systems and Capacity Planning with Dynamic Applications
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Innovative Approaches of Data Visualization and Visual Analytics
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Advanced Database Query Systems
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Exploring the Convergence of Big Data and the Internet of Things
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Text Mining Techniques for Healthcare Provider Quality Determination
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Big Data Management, Technologies, and Applications
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Ethical Data Mining Applications for Socio-Economic Development
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Managing and Processing Big Data in Cloud Computing
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Handbook of Research on Innovative Database Query Processing Techniques
| SKU | Unavailable |
| ISBN 13 | 9781613503560 |
| ISBN 10 | 1613503563 |
| Title | XML Data Mining |
| Author | Andrea Tagarelli |
| Series | Advances In Data Mining And Database Management |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Business Science Reference |
| Year published | 2011-11-30 |
| Number of pages | 538 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |