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Mining Query Logs
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Book Synopsis Mining Query Logs by : Fabrizio Silvestri
Download or read book Mining Query Logs written by Fabrizio Silvestri and published by Foundations and Trends(r) in I. This book was released on 2009-11 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Web search engines have stored information about users in their logs since they started to operate. This information often serves many purposes. Mining Query Logs: Turning Search Usage Data into Knowledge reviews some of the most recent techniques dealing with query logs and how they can be used to enhance web search engine operations. It summarizes the basic results concerning query logs: analyses, techniques used to extract knowledge, most remarkable results, most useful applications, and open issues and possibilities that remain to be studied. It reviews fundamental and state-of-the-art techniques. In each section, even if not directly specified, it reviews and analyzes the algorithms used, and not just their results. Mining Query Logs: Turning Search Usage Data into Knowledge is dedicated to those who want to know more about how search engines are so good at "guessing" the right answers to their queries, and also how they can do so quickly
Book Synopsis Encyclopedia of Data Warehousing and Mining by : Wang, John
Download or read book Encyclopedia of Data Warehousing and Mining written by Wang, John and published by IGI Global. This book was released on 2005-06-30 with total page 1382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.
Book Synopsis Mining Domain Specific Entities from Search Engine Query Logs by : Abhilasha Chaudhary
Download or read book Mining Domain Specific Entities from Search Engine Query Logs written by Abhilasha Chaudhary and published by . This book was released on 2009 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Web Data Mining written by Bing Liu and published by Springer Science & Business Media. This book was released on 2011-06-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
Book Synopsis Advances in Information Retrieval by : David E. Losada
Download or read book Advances in Information Retrieval written by David E. Losada and published by Springer Science & Business Media. This book was released on 2005-03 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 27th European Conference on Information Retrieval Research, ECIR 2005, held in Santiago de Compostela, Spain in March 2005. The 34 revised full papers presented together with 2 invited keynote papers and 17 selected poster papers were carefully reviewed and selected from 124 papers submitted. The papers are organized in topical sections on peer-to-peer, information retrieval models, text summarization, information retrieval methods, text classification and fusion, user studies and evaluation, multimedia retrieval, and Web information retrieval.
Book Synopsis Query Understanding for Search Engines by : Yi Chang
Download or read book Query Understanding for Search Engines written by Yi Chang and published by Springer Nature. This book was released on 2020-12-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic study of practices and theories for query understanding of search engines. These studies can be categorized into three major classes. The first class is to figure out what the searcher wants by extracting semantic meaning from the searcher’s keywords, such as query classification, query tagging, and query intent understanding. The second class is to analyze search queries and then translate them into an enhanced query that can produce better search results, such as query spelling correction or query rewriting. The third class is to assist users in refining or suggesting queries in order to reduce users’ search effort and satisfy their information needs, such as query auto-completion and query suggestion. Query understanding is a fundamental part of search engines. It is responsible to precisely infer the intent of the query formulated by the search user, to correct spelling errors in his/her query, to reformulate the query to capture its intent more accurately, and to guide the user in formulating a query with precise intent. The book will be invaluable to researchers and graduate students in computer or information science and specializing in information retrieval or web-based systems, as well as to researchers and programmers working on the development or improvement of products related to search engines.
Book Synopsis Encyclopedia of Data Warehousing and Mining, Second Edition by : Wang, John
Download or read book Encyclopedia of Data Warehousing and Mining, Second Edition written by Wang, John and published by IGI Global. This book was released on 2008-08-31 with total page 2542 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.
Book Synopsis Mining Massive Data Sets for Security by : Françoise Fogelman-Soulié
Download or read book Mining Massive Data Sets for Security written by Françoise Fogelman-Soulié and published by IOS Press. This book was released on 2008 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. This book is suitable for those interested in understanding the techniques for handling very large data sets and how to apply them in conjunction for solving security issues.
Book Synopsis Text Mining and Visualization by : Markus Hofmann
Download or read book Text Mining and Visualization written by Markus Hofmann and published by CRC Press. This book was released on 2016-01-05 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w
Book Synopsis Programs, Proofs, Processes by : Fernando Ferreira
Download or read book Programs, Proofs, Processes written by Fernando Ferreira and published by Springer. This book was released on 2010-06-27 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th Conference on Computability in Europe, CiE 2010, held in Ponta Delgada, Azores, Portugal, in June/July 2010. The 28 revised papers presented together with 20 invited lectures were carefully reviewed and selected from 90 submissions. The papers address not only the more established lines of research of computational complexity and the interplay between proofs and computation, but also novel views that rely on physical and biological processes and models to find new ways of tackling computations and improving their efficiency.
Book Synopsis Managing and Mining Graph Data by : Charu C. Aggarwal
Download or read book Managing and Mining Graph Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2010-02-02 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.
Download or read book Search Computing written by Stefano Ceri and published by Springer. This book was released on 2010-03-15 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant factors for service composition. The field is multi-disciplinary in nature, and takes advantage of contributions from other research areas such as knowledge representation, human-computer interfaces, psychology, sociology, economics and legal sciences. The book is divided into three parts. The first part includes some visionary contributions on the latest trends in search, which is becoming increasingly task-oriented and is starting to use ontological knowledge in order to manage complex queries. The second part explores background and related technologies, which can be considered as parallel fields of research, useful both for setting the theoretical premises for search computing and for providing a technological framework for building search computing systems and applications. The third part delves into the conceptual and technological problems and issues arising when dealing with search computing as a new search paradigm. It provides a unified view of the results of the Search Computing project as achieved exactly one year after its starting date.
Book Synopsis Information Access Evaluation. Multilinguality, Multimodality, and Visualization by : Pamela Forner
Download or read book Information Access Evaluation. Multilinguality, Multimodality, and Visualization written by Pamela Forner and published by Springer. This book was released on 2013-09-10 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference of the CLEF Initiative, CLEF 2013, held in Valencia, Spain, in September 2013. The 32 papers and 2 keynotes presented were carefully reviewed and selected for inclusion in this volume. The papers are organized in topical sections named: evaluation and visualization; multilinguality and less-resourced languages; applications; and Lab overviews.
Book Synopsis Database Systems for Advanced Applications by : Jeffrey Xu Yu
Download or read book Database Systems for Advanced Applications written by Jeffrey Xu Yu and published by Springer Science & Business Media. This book was released on 2011-04-06 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrücken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.
Book Synopsis String Processing and Information Retrieval by : Edgar Chavez
Download or read book String Processing and Information Retrieval written by Edgar Chavez and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thisvolumecontainsthe paperspresentedatthe 17thInternationalSymposium on String Processing and Information Retrieval (SPIRE 2010), held October 11-13, 2010 in Los Cabos, Mexico. The annual SPIRE conference provides researchers within ?elds related to string processing and/or information retrieval a possibility to present their or- inal contributions and to meet and talk with other researchers with similar - terests. The call for papers invited submissions related to string processing (d- tionary algorithms; text searching; pattern matching; text and sequence c- pression; automata-based string processing), information retrieval (information retrieval models; indexing; ranking and ?ltering; querying and interface design), natural language processing (text analysis; text mining; machine learning; - formation extraction; language models; knowledge representation), searchapp- cations and usage (cross-lingual information access systems; multimedia inf- mation access; digital libraries; collaborative retrieval and Web-related appli- tions; semi-structured data retrieval; evaluation), and interaction of biology and computation (DNA sequencing and applications in molecular biology; evolution andphylogenetics;recognitionofgenesandregulatoryelements;sequencedriven protein structure prediction). The papers presented at the symposium were selected from 109 submissions written by authors from 30 di'erent countries. Each submission was reviewed by at least three reviewers, with a maximum of ?ve reviews for particularly challengingpapers. The ProgramCommittee accepted 39 papers(corresponding to ?35% acceptance rate): 26 long papers and 13 short papers. In addition to these presentations, SPIRE 2010 also featured invited talks by Gonzalo Navarro (Universidad de Chile) and Mark Najork (Microsoft Research, USA).
Book Synopsis Current Trends in Database Technology - EDBT 2004 Workshops by : Wolfgang Lindner
Download or read book Current Trends in Database Technology - EDBT 2004 Workshops written by Wolfgang Lindner and published by Springer Science & Business Media. This book was released on 2004-12 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed joint post-proceedings of five workshops held as part of the 9th International Conference on Extending Database Technology, EDBT 2004, held in Heraklion, Crete, Greece, in March 2004. The 55 revised full papers presented together with 2 invited papers and the summaries of 2 panels were selected from numerous submissions during two rounds of reviewing and revision. In accordance with the topical focus of the respective workshops, the papers are organized in sections on database technology in general (PhD Workshop), database technologies for handling XML information on the Web, pervasive information management, peer-to-peer computing and databases, and clustering information over the Web.
Book Synopsis Managing Data From Knowledge Bases: Querying and Extraction by : Wei Emma Zhang
Download or read book Managing Data From Knowledge Bases: Querying and Extraction written by Wei Emma Zhang and published by Springer. This book was released on 2018-07-31 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors first address the research issues by providing a motivating scenario, followed by the exploration of the principles and techniques of the challenging topics. Then they solve the raised research issues by developing a series of methodologies. More specifically, the authors study the query optimization and tackle the query performance prediction for knowledge retrieval. They also handle unstructured data processing, data clustering for knowledge extraction. To optimize the queries issued through interfaces against knowledge bases, the authors propose a cache-based optimization layer between consumers and the querying interface to facilitate the querying and solve the latency issue. The cache depends on a novel learning method that considers the querying patterns from individual’s historical queries without having knowledge of the backing systems of the knowledge base. To predict the query performance for appropriate query scheduling, the authors examine the queries’ structural and syntactical features and apply multiple widely adopted prediction models. Their feature modelling approach eschews the knowledge requirement on both the querying languages and system. To extract knowledge from unstructured Web sources, the authors examine two kinds of Web sources containing unstructured data: the source code from Web repositories and the posts in programming question-answering communities. They use natural language processing techniques to pre-process the source codes and obtain the natural language elements. Then they apply traditional knowledge extraction techniques to extract knowledge. For the data from programming question-answering communities, the authors make the attempt towards building programming knowledge base by starting with paraphrase identification problems and develop novel features to accurately identify duplicate posts. For domain specific knowledge extraction, the authors propose to use a clustering technique to separate knowledge into different groups. They focus on developing a new clustering algorithm that uses manifold constraints in the optimization task and achieves fast and accurate performance. For each model and approach presented in this dissertation, the authors have conducted extensive experiments to evaluate it using either public dataset or synthetic data they generated.
