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Graph-theoretic Techniques For Web Content Mining

these novel techniques, the authors have selected the domain of web content mining, which involves the clustering and classification of web;

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Mining Graph Data

the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or;

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Graph Data Mining

applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 10th International Workshop on Algorithms and Models for the Web Graph, WAW 2013;

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Practical Graph Mining with R

to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or;

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Managing and Mining Graph Data

matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and;

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Managing and Mining Graph Data

matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and;

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Algorithms and Models for the Web Graph

This book constitutes the proceedings of the 13th International Workshop on Algorithms and Models for the Web Graph, WAW 2016, held;

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Algorithms and Models for the Web Graph

This book constitutes the proceedings of the 14th International Workshop Algorithms and Models for the Web Graph, WAW 2017, held in Toronto;

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Mining User Navigation Patterns from Web Access Log Files

server log file Analysis. Mainly this book is suitable for researchers who are interested in the techniques and applications of Web search, Web;

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Web Content Mining from Hidden Web

mining techniques for better knowledge management. As dynamic content generation is used in modern web pages and user forms are used to get;

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Web Information Systems Engineering WISE 2018

, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms and Models for the Web Graph, WAW 2014;

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Web Information Systems Engineering - WISE 2019

topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity;

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Web and Big Data

were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining;

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Web Information Systems Engineering WISE 2020

This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held;

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Web Information Systems Engineering WISE 2020

This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held;

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Matrix Methods in Data Mining and Pattern Recognition

This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data;

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Group-Theoretic Algorithms and Graph Isomorphism

Group-Theoretic Algorithms and Graph Isomorphism is een boek van C.M. Hoffmann;

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Web Data Mining

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered;

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Web Mining

need. Web mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This;

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Web Age Information Management

management, caching and replication, cloud computing, content management, crowdsourcing data and information quality, data management for mobile and;

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Graph Theory Applications

The first part of this text covers the main graph theoretic topics: connectivity, trees, traversability, planarity, colouring, covering;

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Dark Web

world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content;

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Web Mining

Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web;

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Advanced Data Mining and Applications

algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics;

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Graph-Theoretic Concepts in Computer Science

This book constitutes revised selected papers from the 41st International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2015;

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