Querying And Mining Uncertain Data Streams

Querying And Mining Uncertain Data Streams

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' ...

Author: Cheqing Jin

Publisher: World Scientific

ISBN: 9789813142923

Category: Computers

Page: 164

View: 436

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.
Categories: Computers

Querying and Mining Uncertain Data Streams

Querying and Mining Uncertain Data Streams

"This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams.

Author: Cheqing Jin

Publisher:

ISBN: 981314291X

Category: Data mining

Page: 148

View: 444

Categories: Data mining

Managing and Mining Uncertain Data

Managing and Mining Uncertain Data

The book presents the most recent models, algorithms, and applications in the uncertain data field in a structured and concise way. This book is organized so as to cover the most important management and mining topics in the field.

Author: Charu C. Aggarwal

Publisher: Springer Science & Business Media

ISBN: 9780387096902

Category: Computers

Page: 494

View: 316

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.
Categories: Computers

Database and Expert Systems Applications

Database and Expert Systems Applications

Approximate OLAP Query Processing over Uncertain and Imprecise Multidimensional Data Streams Alfredo Cuzzocrea ICAR-CNR ... the problem of efficiently representing, querying and mining uncertain and imprecise data streams [7,18,2,8,19], ...

Author: Hendrik Decker

Publisher: Springer

ISBN: 9783642401732

Category: Computers

Page: 477

View: 205

This two volume set LNCS 8055 and LNCS 8056 constitutes the refereed proceedings of the 24th International Conference on Database and Expert Systems Applications, DEXA 2013, held in Prague, Czech Republic, August 23-29, 2013. The 43 revised full papers presented together with 33 short papers, and 3 keynote talks, were carefully reviewed and selected from 174 submissions. These papers discuss a range of topics including: search queries; indexing; discovery of semantics; parallel processing; XML and RDF; enterprise models; query evaluation and optimization; semantic Web; sampling; industrial applications; communities; AI and databases; matching and searching; information extraction; queries, streams, and uncertainty, storage and compression; query processing; security; distributed data processing; metadata modeling and maintenance; pricing and recommending; and security and semantics.
Categories: Computers

Scientific and Statistical Database Management

Scientific and Statistical Database Management

Retrieving Accurate Estimates to OLAP Queries over Uncertain and Imprecise Multidimensional Data Streams Alfredo Cuzzocrea ... the problem of efficiently representing, querying and mining uncertain and imprecise data streams [4,9,5,2], ...

Author: Judith Bayard Cushing

Publisher: Springer

ISBN: 9783642223518

Category: Computers

Page: 602

View: 699

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.
Categories: Computers

Clustering And Outlier Detection For Trajectory Stream Data

Clustering And Outlier Detection For Trajectory Stream Data

... China) Querying and Mining Uncertain Data Streams by Cheqing Jin (East China Normal University) and Aoying Zhou (East China Normal University School Mathematics Textbooks in China: Comparative Study and Beyond by Jianpan Wang (East ...

Author: Jin Cheqing

Publisher: World Scientific

ISBN: 9789811210471

Category: Computers

Page: 272

View: 364

As mobile devices continue becoming a larger part of our lives, the development of location acquisition technologies to track moving objects have focused the minds of researchers on issues ranging from longitude and latitude coordinates, speed, direction, and timestamping, as part of parameters needed to calculate the positional information and locations of objects, in terms of time and position in the form of trajectory streams. Recently, recent advances have facilitated various urban applications such as smart transportation and mobile delivery services.Unlike other books on spatial databases, mobile computing, data mining, or computing with spatial trajectories, this book is focused on smart transportation applications.This book is a good reference for advanced undergraduates, graduate students, researchers, and system developers working on transportation systems.
Categories: Computers

Discovery And Fusion Of Uncertain Knowledge In Data

Discovery And Fusion Of Uncertain Knowledge In Data

Subseries on Data Science and Engineering Published (continued from page ii) Vol. 3 Vol. 2 Vol. 1 Querying and Mining Uncertain Data Streams by Cheqing Jin (East China Normal University) and Aoying Zhou (East China Normal University ...

Author: Yue Kun

Publisher: World Scientific

ISBN: 9789813227156

Category: Computers

Page: 224

View: 947

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems. This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment. Contents: IntroductionData-Intensive Learning of Uncertain KnowledgeData-Intensive Inferences of Large-Scale Bayesian NetworksUncertain Knowledge Representation and Inference for Lineage Processing over Uncertain DataUncertain Knowledge Representation and Inference for Tracing Errors in Uncertain DataFusing Uncertain Knowledge in Time-Series DataSummary Readership: Graduate students, researchers and professionals in the field of artificial intelligence/machine learning and information sciences, especially in databases. Keywords: Uncertain Knowledge;Bayesian Network;Data-Intensive Computing;Lineage;Inference;FusionReview: Key Features: Upon the preliminaries of BN (Pearl, 1988), this book establishes the connection between massive/uncertain/dynamic data management and uncertainty in artificial intelligence, specifically taking BN as the knowledge framework; different from the publications (Pearl, 1988; Russel & Norvig, 2010), this book concerns uncertain knowledge representation and corresponding inferences from the data-driven perspective, where we focus on the construction of knowledge models with respect to specific applications; different from the publication (Han, 2011), this book focuses on the critical problem of knowledge engineering specially taking BN as the framework, instead of the previously-unknown patterns by mining dataThis book presents the theoretic conclusions, algorithmic strategies, running examples and empirical studies while emphasizing the soundness in both theoretic/semantic and executive/applicable perspectives of the methods for discovery and fusion of uncertain knowledge in dataThis book is appropriately a reference book for researchers in the fields of massive data analysis, artificial intelligence and knowledge engineering. As well, this book can be also adopted as textbook for graduate students who major in data mining and knowledge discovery, or intelligent data analysis etc.
Categories: Computers

Scientific and Statistical Database Management

Scientific and Statistical Database Management

This book constitutes the refereed proceedings of the 20th International Conference on Scientific and Statistical Database Management, SSDBM 2008, held in Hong Kong, China, in July 2008.

Author: Bertram Ludäscher

Publisher: Springer

ISBN: 9783540694977

Category: Computers

Page: 620

View: 712

This book constitutes the refereed proceedings of the 20th International Conference on Scientific and Statistical Database Management, SSDBM 2008, held in Hong Kong, China, in July 2008. The 28 revised full papers, 7 revised short papers and 8 poster and demo papers presented together with 3 invited talks were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on query optimization in scientific databases, privacy, searching and mining graphs, data streams, scientific database applications, advanced indexing methods, data mining, as well as advanced queries and uncertain data.
Categories: Computers

School Mathematics Textbooks In China Comparative Studies And Beyond

School Mathematics Textbooks In China  Comparative Studies And Beyond

10 Clustering and Outlier Detection for Trajectory Stream Data by Jiali Mao (East China Normal University, China), Cheqing Jin (East China Normal University, China) and Aoying ... 3 Querying and Mining Uncertain Data Streams by Cheqing ...

Author: Jianpan Wang

Publisher: World Scientific

ISBN: 9789814713962

Category: Mathematics

Page: 592

View: 578

Our collected work contains mathematics education research papers. Comparative studies of school textbooks cover content selection, compilation style, representation method, design of examples and exercises, mathematics investigation, the use of information technology, and composite difficulty level, to name a few. Other papers included are about representation of basic mathematical thought in school textbooks, a study on the compilation features of elementary school textbooks, and a survey of the effect of using new elementary school textbooks.
Categories: Mathematics

Biological Language Model Theory And Application

Biological Language Model  Theory And Application

Subseries on Data Science and Engineering Published (continued from page ii) Vol. 9 Vol. ... China) Querying and Mining Uncertain Data Streams by Cheqing Jin (East China Normal University) and Aoying Zhou (East China Normal University ...

Author: Aoying Zhou

Publisher: World Scientific

ISBN: 9789811212963

Category: Computers

Page: 264

View: 585

Conceived as a cross between natural language processing methods and biological sequences in DNA, RNA and protein, biological language model is a new scientific research topic in bioinformatics that has been extensively studied by the authors. The basic theory and applications of this model are presented in this book to serve as an reference for graduate students and researchers.
Categories: Computers

Future Generation Information Technology

Future Generation Information Technology

defining a proper procedural Data Mining language for uncertain and im- precise multidimensional data streams, ... data streams, as ensuring the privacy of data streams during data management activities (e.g., query evaluation) is one ...

Author: Tai-hoon Kim

Publisher: Springer

ISBN: 9783642355851

Category: Computers

Page: 284

View: 221

This book comprises selected papers of the 4th International Conference on Future Generation Information Technology, FGIT 2012, held in Gangneug, Korea, in December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of advances in information technology. They were selected from the following 11 conferences: BSBT 2012, CGAG 2012, DCA 2012, DTA 2012, EL 2012, FGCN 2012, GDC 2012, IESH 2012, IUrC 2012, MulGraB 2012, and UNESST 2012.
Categories: Computers

Database Systems for Advanced Applications

Database Systems for Advanced Applications

The focus of this paper is to study the streaming algorithm to handle top-k query. ... [19], the frequent items mining is also studied. 6. Conclusion. In this paper, we aim at handling top-k queries on uncertain data streams.

Author: Jeffrey Xu Yu

Publisher: Springer Science & Business Media

ISBN: 9783642201486

Category: Computers

Page: 583

View: 522

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.
Categories: Computers

Opinion Analysis for Online Reviews

Opinion Analysis for Online Reviews

3 Querying and Mining Uncertain Data Streams by Cheqing Jin (East China Normal University) and Aoying Zhou (East China Normal University) Vol. 4 Opinion Analysis for Online Reviews by Yuming Lin (Guilin University of Electronic ...

Author: Yuming Lin

Publisher: World Scientific

ISBN: 9789813100466

Category: Computers

Page: 128

View: 936

This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers. Contents:IntroductionRelated WorksPreliminariesTerm's Sentiment-Based Review Opinion AnalysisMultiple Classifier System for Opinion AnalysisOptimization of Base Classifier SelectionOpinion Spam DetectionConclusions Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.
Categories: Computers

Time aware Conversion Prediction For E commerce

Time aware Conversion Prediction For E commerce

Subseries on Data Science and Engineering Published (continued from page ii) Vol. ... China) Querying and Mining Uncertain Data Streams by Cheqing Jin (East China Normal University) and Aoying Zhou (East China Normal University School ...

Author: Wang Xiaoling

Publisher: World Scientific

ISBN: 9789813224735

Category: Business & Economics

Page: 152

View: 821

This unique compendium provides a novel research on how time influences the conversions of advertising and product recommendation in E-commerce. It proposes time-aware conversion prediction models to solve the problem — what products should be recommended for a given period to maximize conversion? The volume also presents a series of researches on how to build data-driven attribution models to allocate the time-sensitive contribution of advertisements to the conversion. This must-have reference text will be invaluable for researchers, professionals, academics and graduate students keen in databases and artificial intelligence. Contents: IntroductionBasic Conversion Prediction ModelsModeling of the Conversion DelayTime-Aware Conversion PredictionMulti-Touch Attribution Analysis in Online AdvertisingAccumulative MTA Analysis in Online AdvertisingConclusions Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition. Keywords: Multi-Touch Attribution;Computational Advertising;Survival AnalysisReview:0
Categories: Business & Economics

Review Comment Analysis for E commerce

Review Comment Analysis for E commerce

Subseries on Data Science and Engineering ISSN: 2382-5715 Chief Editor Weian Zheng Changjiang Chair Professor School of ... 3 Querying and Mining Uncertain Data Streams by Cheqing Jin (East China Normal University) and Aoying Zhou (East ...

Author: Rong Zhang

Publisher: World Scientific

ISBN: 9789813100077

Category:

Page: 172

View: 673

This book presents the recent achievements on the processing of representative user generated content (UGC) on E-commerce websites. This large size of UGC is valuable information for data mining to help customer/object profiling. It provides a comprehensive overview on the concept of customer credibility, object-oriented review summarization technology and content-based collaborative filtering algorithm. It covers a feedback mechanism which is designed to discover customer credibility, which is used to define the professional degree of review content; product-oriented review summarization for restaurants or trip arrangements, and introduced content-based collaborative filtering for product recommendation. Contents:IntroductionCredibility LearningEntity ResolutionReview SelectionReview SummarizationRecommendationConclusion Readership: Graduate students, academia and practitioners in the field of database, information science as well as e-commerce.
Categories:

Load Balance For Distributed Real time Computing Systems

Load Balance For Distributed Real time Computing Systems

... Jianpan Wang (East China Normal University) High-Frequency Trading and Probability Theory by Zhaodong Wang (East China Normal University) and Weian Zheng (East China Normal University) Vol. 3 Querying and Mining Uncertain Data Streams.

Author: Junhua Fang

Publisher: World Scientific

ISBN: 9789811216169

Category: Computers

Page: 260

View: 180

This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods.This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc.
Categories: Computers

Handbook of Dynamic Data Driven Applications Systems

Handbook of Dynamic Data Driven Applications Systems

S. Imai, C.A. Varela, Programming spatio-temporal data streaming applications with highlevel specifications, in 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST) 2012, Redondo Beach, ...

Author: Erik Blasch

Publisher: Springer

ISBN: 9783319955049

Category: Computers

Page: 750

View: 950

The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: Earth and Space Data Assimilation Aircraft Systems Processing Structures Health Monitoring Biological Data Assessment Object and Activity Tracking Embedded Control and Coordination Energy-Aware Optimization Image and Video Computing Security and Policy Coding Systems Design The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.
Categories: Computers

Analyzing and Securing Social Networks

Analyzing and Securing Social Networks

We have utilized our cloud computing framework to develop InXite for scalable solutions for mining streaming data. ... In: 1st SIGSPATIAL ACM GIS 2009 International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST), ...

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 9781482243284

Category: Computers

Page: 574

View: 795

Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technologies that ensure the privacy of the participants of the network as well as provide controlled access to the information posted and exchanged by the participants. The authors explore security and privacy issues for social media systems, analyze such systems, and discuss prototypes they have developed for social media systems whose data are represented using semantic web technologies. These experimental systems have been developed at The University of Texas at Dallas. The material in this book, together with the numerous references listed in each chapter, have been used for a graduate-level course at The University of Texas at Dallas on analyzing and securing social media. Several experimental systems developed by graduate students are also provided. The book is divided into nine main sections: (1) supporting technologies, (2) basics of analyzing and securing social networks, (3) the authors’ design and implementation of various social network analytics tools, (4) privacy aspects of social networks, (5) access control and inference control for social networks, (6) experimental systems designed or developed by the authors on analyzing and securing social networks, (7) social media application systems developed by the authors, (8) secure social media systems developed by the authors, and (9) some of the authors’ exploratory work and further directions.
Categories: Computers

Transactions on Large Scale Data and Knowledge Centered Systems XXI

Transactions on Large Scale Data  and Knowledge Centered Systems XXI

Cuzzocrea, A.: Retrieving accurate estimates to OLAP queries over uncertain and imprecise multidimensional data streams. ... Appl. 35(4), 1210–1217 (2012) Gaber, M.M., Zaslavsky, A.B., Krishnaswamy, S.: Mining data streams: a review.

Author: Abdelkader Hameurlain

Publisher: Springer

ISBN: 9783662478042

Category: Computers

Page: 185

View: 716

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 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. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This volume, the 21st issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of eight papers selected as the best papers from the 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2012), held in Vienna, Austria, during September 3-6, 2012. These papers cover several advanced Big Data topics, ranging from data cube computation using MapReduce to multiple aggregations over multidimensional databases, from data warehousing systems over complex energy data to OLAP-based prediction models, from extended query engines for continuous stream analytics to popular pattern mining, and from rare pattern mining to enhanced knowledge discovery from large cross-document corpora.
Categories: Computers

Advanced Data Mining and Applications

Advanced Data Mining and Applications

Our experiments on synthetic and real-world datasets show that CFDTu is highly scalable for data streams and more effective than a purely deterministic method. Mining from data streams having uncertain class labels is another important ...

Author: Jie Tang

Publisher: Springer Science & Business Media

ISBN: 9783642258558

Category: Computers

Page: 419

View: 857

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.
Categories: Computers