Scalable Query Evaluation Over Complex Probabilistic Databases

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Probabilistic Databases

Author : Dan Suciu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608456803
Total Pages : 183 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Probabilistic Databases by : Dan Suciu

Download or read book Probabilistic Databases written by Dan Suciu and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques

Scalable Uncertainty Management

Author : Sergio Greco
Publisher : Springer
ISBN 13 : 3540879935
Total Pages : 411 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Scalable Uncertainty Management by : Sergio Greco

Download or read book Scalable Uncertainty Management written by Sergio Greco and published by Springer. This book was released on 2008-10-01 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008. The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.

Scalable Uncertainty Management

Author : Andrea Pugliese
Publisher : Springer Science & Business Media
ISBN 13 : 3642043879
Total Pages : 318 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Scalable Uncertainty Management by : Andrea Pugliese

Download or read book Scalable Uncertainty Management written by Andrea Pugliese and published by Springer Science & Business Media. This book was released on 2009-09-07 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009. It contains 21 technical papers which were selected out of 30 submitted papers in a rigourous reviewing process. The volume also contains extended abstracts of two invited talks. The volume reflects the growing interest in uncertainty and incosistency and aims at bringing together all those interested in the management of uncertainty and inconsistency at large.

Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

Author : Claudia d’Amato
Publisher : Springer
ISBN 13 : 3030003388
Total Pages : 248 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Reasoning Web. Learning, Uncertainty, Streaming, and Scalability by : Claudia d’Amato

Download or read book Reasoning Web. Learning, Uncertainty, Streaming, and Scalability written by Claudia d’Amato and published by Springer. This book was released on 2018-09-14 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.

Scalable Uncertainty Management

Author : Eyke Hüllermeier
Publisher : Springer
ISBN 13 : 3642333621
Total Pages : 662 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Scalable Uncertainty Management by : Eyke Hüllermeier

Download or read book Scalable Uncertainty Management written by Eyke Hüllermeier and published by Springer. This book was released on 2012-09-11 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Scalable Uncertainty Management

Author : Weiru Liu
Publisher : Springer
ISBN 13 : 3642403816
Total Pages : 399 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Scalable Uncertainty Management by : Weiru Liu

Download or read book Scalable Uncertainty Management written by Weiru Liu and published by Springer. This book was released on 2013-09-10 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Advances in Scalable Web Information Integration and Service

Author : Yoshifumi Masunaga
Publisher : World Scientific
ISBN 13 : 9812770232
Total Pages : 124 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Advances in Scalable Web Information Integration and Service by : Yoshifumi Masunaga

Download or read book Advances in Scalable Web Information Integration and Service written by Yoshifumi Masunaga and published by World Scientific. This book was released on 2007 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the recent advances in web technologies and applications such as web data management, web information integration, web services, web data warehousing and web data mining, which rapidly changed our life in various ways.

Scalable Uncertainty Management

Author : Christoph Beierle
Publisher : Springer
ISBN 13 : 3319235400
Total Pages : 427 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Scalable Uncertainty Management by : Christoph Beierle

Download or read book Scalable Uncertainty Management written by Christoph Beierle and published by Springer. This book was released on 2015-09-15 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers for SUM 2015 solicited submissions in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Scalable Uncertainty Management

Author : Steven Schockaert
Publisher : Springer
ISBN 13 : 3319458566
Total Pages : 368 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Scalable Uncertainty Management by : Steven Schockaert

Download or read book Scalable Uncertainty Management written by Steven Schockaert and published by Springer. This book was released on 2016-08-29 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016. The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

The Semantic Web – ISWC 2014

Author : Peter Mika
Publisher : Springer
ISBN 13 : 331911915X
Total Pages : 588 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis The Semantic Web – ISWC 2014 by : Peter Mika

Download or read book The Semantic Web – ISWC 2014 written by Peter Mika and published by Springer. This book was released on 2014-10-09 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8796 and 8797 constitutes the refereed proceedings of the 13th International Semantic Web Conference, ISWC 2014, held in Riva del Garda, in October 2014. The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge scientific results and technological innovations are presented, where problems and solutions are discussed, and where the future of this vision is being developed. It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences. Part 1 (LNCS 8796) contains a total of 38 papers which were presented in the research track. They were carefully reviewed and selected from 180 submissions. Part 2 (LNCS 8797) contains 15 papers from the 'semantic Web in use' track which were accepted from 46 submissions. In addition, it presents 16 contributions of the RBDS track and 6 papers of the doctoral consortium.

Managing and Mining Uncertain Data

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
ISBN 13 : 0387096906
Total Pages : 494 pages
Book Rating : 4.3/5 (87 download)

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Book Synopsis Managing and Mining Uncertain Data by : Charu C. Aggarwal

Download or read book Managing and Mining Uncertain Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2010-07-08 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.

Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction

Author : Bellatreche, Ladjel
Publisher : IGI Global
ISBN 13 : 1605667579
Total Pages : 336 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction by : Bellatreche, Ladjel

Download or read book Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction written by Bellatreche, Ladjel and published by IGI Global. This book was released on 2009-08-31 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction covers the complete process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system. A defining collection of field discoveries, this advanced title provides significant industry solutions for those involved in this distinct research community.

Scalable Uncertainty Management

Author : Henri Prade
Publisher : Springer Science & Business Media
ISBN 13 : 3540754075
Total Pages : 286 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Scalable Uncertainty Management by : Henri Prade

Download or read book Scalable Uncertainty Management written by Henri Prade and published by Springer Science & Business Media. This book was released on 2007-09-27 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, SUM 2007, held in Washington, DC, USA, in October 2007. The 20 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address artificial intelligence researchers, database researchers and practitioners.

Scalable and Efficient Probabilistic Topic Model Inference for Textual Data

Author : Måns Magnusson
Publisher : Linköping University Electronic Press
ISBN 13 : 9176852881
Total Pages : 75 pages
Book Rating : 4.1/5 (768 download)

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Book Synopsis Scalable and Efficient Probabilistic Topic Model Inference for Textual Data by : Måns Magnusson

Download or read book Scalable and Efficient Probabilistic Topic Model Inference for Textual Data written by Måns Magnusson and published by Linköping University Electronic Press. This book was released on 2018-04-27 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic topic models have proven to be an extremely versatile class of mixed-membership models for discovering the thematic structure of text collections. There are many possible applications, covering a broad range of areas of study: technology, natural science, social science and the humanities. In this thesis, a new efficient parallel Markov Chain Monte Carlo inference algorithm is proposed for Bayesian inference in large topic models. The proposed methods scale well with the corpus size and can be used for other probabilistic topic models and other natural language processing applications. The proposed methods are fast, efficient, scalable, and will converge to the true posterior distribution. In addition, in this thesis a supervised topic model for high-dimensional text classification is also proposed, with emphasis on interpretable document prediction using the horseshoe shrinkage prior in supervised topic models. Finally, we develop a model and inference algorithm that can model agenda and framing of political speeches over time with a priori defined topics. We apply the approach to analyze the evolution of immigration discourse in the Swedish parliament by combining theory from political science and communication science with a probabilistic topic model. Probabilistiska ämnesmodeller (topic models) är en mångsidig klass av modeller för att estimera ämnessammansättningar i större corpusar. Applikationer finns i ett flertal vetenskapsområden som teknik, naturvetenskap, samhällsvetenskap och humaniora. I denna avhandling föreslås nya effektiva och parallella Markov Chain Monte Carlo algoritmer för Bayesianska ämnesmodeller. De föreslagna metoderna skalar väl med storleken på corpuset och kan användas för flera olika ämnesmodeller och liknande modeller inom språkteknologi. De föreslagna metoderna är snabba, effektiva, skalbara och konvergerar till den sanna posteriorfördelningen. Dessutom föreslås en ämnesmodell för högdimensionell textklassificering, med tonvikt på tolkningsbar dokumentklassificering genom att använda en kraftigt regulariserande priorifördelningar. Slutligen utvecklas en ämnesmodell för att analyzera "agenda" och "framing" för ett förutbestämt ämne. Med denna metod analyserar vi invandringsdiskursen i Sveriges Riksdag över tid, genom att kombinera teori från statsvetenskap, kommunikationsvetenskap och probabilistiska ämnesmodeller.

Euro-Par 2008 Parallel Processing

Author : Emilio Luque
Publisher : Springer
ISBN 13 : 3540854517
Total Pages : 991 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Euro-Par 2008 Parallel Processing by : Emilio Luque

Download or read book Euro-Par 2008 Parallel Processing written by Emilio Luque and published by Springer. This book was released on 2008-08-21 with total page 991 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Parallel Computing, Euro-Par 2008, held in Las Palmas de Gran Canaria, Spain, in August 2008. The 86 revised papers presented were carefully reviewed and selected from 264 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; parallel and distributed databases; grid and cluster computing; peer-to-peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; distributed and high-performance multimedia; theory and algorithms for parallel computation; and high performance networks.

Advances in Database Technology - EDBT 2006

Author : Yannis Ioannidis
Publisher : Springer
ISBN 13 : 3540329617
Total Pages : 1224 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Database Technology - EDBT 2006 by : Yannis Ioannidis

Download or read book Advances in Database Technology - EDBT 2006 written by Yannis Ioannidis and published by Springer. This book was released on 2006-03-10 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Extending Database Technology, EDBT 2006, held in Munich, Germany, in March 2006. The 60 revised research papers presented together with eight industrial application papers, 20 software demos, and three invited contributions were carefully reviewed and selected from 352 submissions. The papers are organized in topical sections.

Reasoning Web. Semantic Technologies for the Web of Data

Author : Axel Polleres
Publisher : Springer Science & Business Media
ISBN 13 : 3642230318
Total Pages : 544 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Reasoning Web. Semantic Technologies for the Web of Data by : Axel Polleres

Download or read book Reasoning Web. Semantic Technologies for the Web of Data written by Axel Polleres and published by Springer Science & Business Media. This book was released on 2011-08-09 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Semantic Web aims at enriching the existing Web with meta-data and processing methods so as to provide web-based systems with advanced capabilities, in particular with context awareness and decision support. The objective of this book is to provide a coherent introduction to semantic web methods and research issues with a particular emphasis on reasoning. The 7th reasoning web Summer School, held in August 2011, focused on the central topic of applications of reasoning for the emerging “Web of Data”. The 12 chapters in the present book provide excellent educational material as well as a number of references for further reading. The book not only addresses students working in the area, but also those seeking an entry point to various topics related to reasoning over Web data.