Ranking Queries On Uncertain Data

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Ranking Queries on Uncertain Data

Author : Ming Hua
Publisher : Springer Science & Business Media
ISBN 13 : 1441993800
Total Pages : 233 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Ranking Queries on Uncertain Data by : Ming Hua

Download or read book Ranking Queries on Uncertain Data written by Ming Hua and published by Springer Science & Business Media. This book was released on 2011-03-28 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data.

Ranking Queries on Uncertain Data

Author : Ming Hua
Publisher :
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Ranking Queries on Uncertain Data by : Ming Hua

Download or read book Ranking Queries on Uncertain Data written by Ming Hua and published by . This book was released on 2009 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-K queries) are often natural and useful in analyzing uncertain data. In this thesis, we study the problem of ranking queries on uncertain data. Specifically, we extend the basic uncertain data model in three directions, including uncertain data streams, probabilistic linkages, and probabilistic graphs, to meet various application needs. Moreover, we develop a series of novel ranking queries on uncertain data at different granularity levels, including selecting the most typical instances within an uncertain object, ranking instances and objects among a set of uncertain objects, and ranking the aggregate sets of uncertain objects. To tackle the challenges on efficiency and scalability, we develop efficient and scalable query evaluation algorithms for the proposed ranking queries. First, we integrate statistical principles and scalable computational techniques to compute exact query results. Second, we develop efficient randomized algorithms to approximate the answers to ranking queries. Third, we propose efficient approximation methods based on the distribution characteristics of query results. A comprehensive empirical study using real and synthetic data sets verifies the effectiveness of the proposed ranking queries and the efficiency of our query evaluation methods.

Probabilistic Ranking Techniques in Relational Databases

Author : Ihab Ilyas
Publisher : Springer Nature
ISBN 13 : 303101846X
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Probabilistic Ranking Techniques in Relational Databases by : Ihab Ilyas

Download or read book Probabilistic Ranking Techniques in Relational Databases written by Ihab Ilyas and published by Springer Nature. This book was released on 2022-05-31 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed ranking techniques focus on deterministic data, several emerging applications involve data that are imprecise or uncertain. Ranking uncertain data raises new challenges in query semantics and processing, making conventional methods inapplicable. Furthermore, the interplay between ranking and uncertainty models introduces new dimensions for ordering query results that do not exist in the traditional settings. This lecture describes new formulations and processing techniques for ranking queries on uncertain data. The formulations are based on marriage of traditional ranking semantics with possible worlds semantics under widely-adopted uncertainty models. In particular, we focus on discussing the impact of tuple-level and attribute-level uncertainty on the semantics and processing techniques of ranking queries. Under the tuple-level uncertainty model, we describe new processing techniques leveraging the capabilities of relational database systems to recognize and handle data uncertainty in score-based ranking. Under the attribute-level uncertainty model, we describe new probabilistic ranking models and a set of query evaluation algorithms, including sampling-based techniques. We also discuss supporting rank join queries on uncertain data, and we show how to extend current rank join methods to handle uncertainty in scoring attributes. Table of Contents: Introduction / Uncertainty Models / Query Semantics / Methodologies / Uncertain Rank Join / Conclusion

Probabilistic Ranking Techniques in Relational Databases

Author : Ihab F. Ilyas
Publisher : Morgan & Claypool Publishers
ISBN 13 : 160845567X
Total Pages : 73 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Probabilistic Ranking Techniques in Relational Databases by : Ihab F. Ilyas

Download or read book Probabilistic Ranking Techniques in Relational Databases written by Ihab F. Ilyas and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed ranking techniques focus on deterministic data, several emerging applications involve data that are imprecise or uncertain. Ranking uncertain data raises new challenges in query semantics and processing, making conventional methods inapplicable. Furthermore, the interplay between ranking and uncertainty models introduces new dimensions for ordering query results that do not exist in the traditional settings. This lecture describes new formulations and processing techniques for ranking queries on uncertain data. The formulations are based on marriage of traditional ranking semantics with possible worlds semantics under widely-adopted uncertainty models. In particular, we focus on discussing the impact of tuple-level and attribute-level uncertainty on the semantics and processing techniques of ranking queries. Under the tuple-level uncertainty model, we describe new processing techniques leveraging the capabilities of relational database systems to recognize and handle data uncertainty in score-based ranking. Under the attribute-level uncertainty model, we describe new probabilistic ranking models and a set of query evaluation algorithms, including sampling-based techniques. We also discuss supporting rank join queries on uncertain data, and we show how to extend current rank join methods to handle uncertainty in scoring attributes. Table of Contents: Introduction / Uncertainty Models / Query Semantics / Methodologies / Uncertain Rank Join / Conclusion

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Author : Davide Ciucci
Publisher : Springer
ISBN 13 : 3642412181
Total Pages : 412 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Davide Ciucci

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Davide Ciucci and published by Springer. This book was released on 2013-10-07 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.

Query Processing over Uncertain Databases

Author : Lei Chen
Publisher : Springer Nature
ISBN 13 : 3031018966
Total Pages : 91 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Query Processing over Uncertain Databases by : Lei Chen

Download or read book Query Processing over Uncertain Databases written by Lei Chen and published by Springer Nature. This book was released on 2022-05-31 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to measurement errors, transmission lost, or injected noise for privacy protection, uncertainty exists in the data of many real applications. However, query processing techniques for deterministic data cannot be directly applied to uncertain data because they do not have mechanisms to handle data uncertainty. Therefore, efficient and effective manipulation of uncertain data is a practical yet challenging research topic. In this book, we start from the data models for imprecise and uncertain data, move on to defining different semantics for queries on uncertain data, and finally discuss the advanced query processing techniques for various probabilistic queries in uncertain databases. The book serves as a comprehensive guideline for query processing over uncertain databases. Table of Contents: Introduction / Uncertain Data Models / Spatial Query Semantics over Uncertain Data Models / Spatial Query Processing over Uncertain Databases / Conclusion

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.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII

Author : Abdelkader Hameurlain
Publisher : Springer Nature
ISBN 13 : 3662621991
Total Pages : 139 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII by : Abdelkader Hameurlain

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII written by Abdelkader Hameurlain and published by Springer Nature. This book was released on 2020-08-12 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 43rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include classification tasks, machine learning algorithms, top-k queries, business process redesign and a knowledge capitalization framework.

Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1490105972
Total Pages : 1211 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition by :

Download or read book Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-05-01 with total page 1211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Expert Systems. The editors have built Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Expert Systems in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Database Systems for Advanced Applications

Author : Xiaofang Zhou
Publisher : Springer
ISBN 13 : 3642008879
Total Pages : 797 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Database Systems for Advanced Applications by : Xiaofang Zhou

Download or read book Database Systems for Advanced Applications written by Xiaofang Zhou and published by Springer. This book was released on 2009-03-21 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Database Systems for Advanced Applications, DASFAA 2009, held in Brisbane, Australia, in April 2009. The 39 revised full papers and 22 revised short papers presented together with 3 invited keynote papers, 9 demonstration papers, 3 tutorial abstracts, and one panel abstract were carefully reviewed and selected from 186 submissions. The papers are organized in topical sections on uncertain data and ranking, sensor networks, graphs, RFID and data streams, skyline and rising stars, parallel and distributed processing, mining and analysis, XML query, privacy, XML keyword search and ranking, Web and Web services, XML data processing, and multimedia.

Handbook of Big Geospatial Data

Author : Martin Werner
Publisher : Springer Nature
ISBN 13 : 3030554627
Total Pages : 641 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Handbook of Big Geospatial Data by : Martin Werner

Download or read book Handbook of Big Geospatial Data written by Martin Werner and published by Springer Nature. This book was released on 2021-05-07 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.

Web-Age Information Management

Author : Jianyong Wang
Publisher : Springer
ISBN 13 : 3642385621
Total Pages : 838 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Web-Age Information Management by : Jianyong Wang

Download or read book Web-Age Information Management written by Jianyong Wang and published by Springer. This book was released on 2013-06-21 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Web-Age Information Management, WAIM 2013, held in Beidaihe, China, in June 2013. The 47 revised full papers presented together with 29 short papers and 5 keynotes were carefully reviewed and selected from a total of 248 submissions. The papers are organized in topical sections on data mining; information integration and heterogeneous systems; big data; spatial and temporal databases; information extraction; new hardware and miscellaneous; query processing and optimization; social network and graphs; information retrieval; workflow systems and service computing; recommender systems; security, privacy, and trust; semantic Web and ontology.

Database Systems for Advanced Applications

Author : Sang-goo Lee
Publisher : Springer Science & Business Media
ISBN 13 : 3642290345
Total Pages : 355 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Database Systems for Advanced Applications by : Sang-goo Lee

Download or read book Database Systems for Advanced Applications written by Sang-goo Lee and published by Springer Science & Business Media. This book was released on 2012-03-27 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 7238 and LNCS 7239 constitutes the refereed proceedings of the 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, held in Busan, South Korea, in April 2012. The 44 revised full papers and 8 short papers presented together with 2 invited keynote papers, 8 industrial papers, 8 demo presentations, 4 tutorials and 1 panel paper were carefully reviewed and selected from a total of 159 submissions. The topics covered are query processing and optimization, data semantics, XML and semi-structured data, data mining and knowledge discovery, privacy and anonymity, data management in the Web, graphs and data mining applications, temporal and spatial data, top-k and skyline query processing, information retrieval and recommendation, indexing and search systems, cloud computing and scalability, memory-based query processing, semantic and decision support systems, social data, data mining.

Querying And Mining Uncertain Data Streams

Author : Cheqing Jin
Publisher : World Scientific
ISBN 13 : 9813142928
Total Pages : 164 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Querying And Mining Uncertain Data Streams by : Cheqing Jin

Download or read book Querying And Mining Uncertain Data Streams written by Cheqing Jin and published by World Scientific. This book was released on 2016-05-24 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams. Its contents include some important discoveries dealing with typical topics such as top-k query, ER-Topk query, rarity estimation, set similarity, and clustering.Querying and Mining Uncertain Data Streams is written for professionals, researchers, and graduate students in data mining and its various related fields.

On the Move to Meaningful Internet Systems: OTM 2016 Conferences

Author : Christophe Debruyne
Publisher : Springer
ISBN 13 : 3319484729
Total Pages : 977 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis On the Move to Meaningful Internet Systems: OTM 2016 Conferences by : Christophe Debruyne

Download or read book On the Move to Meaningful Internet Systems: OTM 2016 Conferences written by Christophe Debruyne and published by Springer. This book was released on 2016-10-17 with total page 977 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Confederated International Conferences: Cooperative Information Systems, CoopIS 2016, Ontologies, Databases, and Applications of Semantics, ODBASE 2016, and Cloud and Trusted Computing, C&TC, held as part of OTM 2016 in October 2016 in Rhodes, Greece. The 45 full papers presented together with 16 short papers were carefully reviewed and selected from 133 submissions. The OTM program every year covers data and Web semantics, distributed objects, Web services, databases, information systems, enterprise workow and collaboration, ubiquity, interoperability, mobility,grid and high-performance computing.

Scientific and Statistical Database Management

Author : Judith Bayard Cushing
Publisher : Springer
ISBN 13 : 3642223516
Total Pages : 618 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Scientific and Statistical Database Management by : Judith Bayard Cushing

Download or read book Scientific and Statistical Database Management written by Judith Bayard Cushing and published by Springer. This book was released on 2011-07-01 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011, held in Portland, OR, USA, in July 2011. The 26 long and 12 short papers presented together with 15 posters were carefully reviewed and selected from 80 submissions. The topics covered are ranked search; temporal data and queries; workflow and provenance; querying graphs; clustering and data mining; architectures and privacy; and applications and models.

Database Systems for Advanced Applications

Author : Hiroyuki Kitagawa
Publisher : Springer
ISBN 13 : 3642120261
Total Pages : 646 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Database Systems for Advanced Applications by : Hiroyuki Kitagawa

Download or read book Database Systems for Advanced Applications written by Hiroyuki Kitagawa and published by Springer. This book was released on 2010-04-07 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatialdatabases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.