Discovery and Fusion of Uncertain Knowledge in Data

Discovery and Fusion of Uncertain Knowledge in Data

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.

Author: Kun Yue

Publisher:

ISBN: 9813227133

Category: Data mining

Page: 202

View: 404

Categories: Data mining

Discovery and Fusion of Uncertain Knowledge in Data

Discovery and Fusion of Uncertain Knowledge in Data

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.

Author: Kun Yue

Publisher: World Scientific Publishing Company

ISBN: 9813227125

Category: Computers

Page: 202

View: 753

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.
Categories: Computers

Discovery And Fusion Of Uncertain Knowledge In Data

Discovery And Fusion Of Uncertain Knowledge In Data

In the methods of lineage processing[136] based on uncertainty-lineage database (ULDB) [146], Boolean formulae were ... as the logical representation of knowledge, cannot be used to well describe the complex correlations among data ...

Author: Yue Kun

Publisher: World Scientific

ISBN: 9789813227156

Category: Computers

Page: 224

View: 559

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

Clustering And Outlier Detection For Trajectory Stream Data

Clustering And Outlier Detection For Trajectory Stream Data

Subseries on Data Science and Engineering Published (continued from page ii) Vol. 7 Vol. ... China) and Aoying Zhou (East China Normal University, China) Discovery and Fusion of Uncertain Knowledge in Data by Kun Yue (Yunnan University, ...

Author: Jin Cheqing

Publisher: World Scientific

ISBN: 9789811210471

Category: Computers

Page: 272

View: 795

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

Network Data Mining And Analysis

Network Data Mining And Analysis

Subseries on Data Science and Engineering ISSN: 2382-5715 Chief Editor Weian Zheng Changjiang Chair Professor School of Finance and Statistics East China Normal University, ... 6 Discovery and Fusion of Uncertain Knowledge in Data by ...

Author: Gao Ming

Publisher: World Scientific

ISBN: 9789813274976

Category: Computers

Page: 204

View: 786

Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site — actions which generate mind-boggling amounts of data every day.To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods to study how individuals interact with each other and how social communities form in bipartite and signed networks. The uniqueness of social media data calls for novel data mining techniques that can effectively handle user generated content with rich social relations. The study and development of these new techniques are under the purview of social media mining, an emerging discipline under the umbrella of data mining. Social Media Mining is the process of representing, analyzing, and extracting actionable patterns from social media data.
Categories: Computers

School Mathematics Textbooks In China Comparative Studies And Beyond

School Mathematics Textbooks In China  Comparative Studies And Beyond

Subseries on Data Science and Engineering Published (continued from page ii) Vol. ... 6 Discovery and Fusion of Uncertain Knowledge in Data by Kun Yue (Yunnan University, China), Weiyi Liu (Yunnan University, China), Hao Wu (Yunnan ...

Author: Jianpan Wang

Publisher: World Scientific

ISBN: 9789814713962

Category: Mathematics

Page: 592

View: 319

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) and Aoying Zhou (East China Normal University, China) Discovery and Fusion of Uncertain Knowledge in Data by Kun Yue (Yunnan University, ...

Author: Aoying Zhou

Publisher: World Scientific

ISBN: 9789811212963

Category: Computers

Page: 264

View: 592

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

Information Uncertainty and Fusion

Information  Uncertainty and Fusion

Abstract Distributed databases offer much as a potentially fruitful area for Knowledge Discovery since they allow us to combine data from different, heterogeneous, sources which have not previously been integrated.

Author: Bernadette Bouchon-Meunier

Publisher: Springer Science & Business Media

ISBN: 9781461552093

Category: Mathematics

Page: 460

View: 881

As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. In order to increase the value of this vast supply of information we must develop means for effectively processing it. Newly emerging disciplines such as Information Engineering and Soft Computing are being developed in order to provide the tools required. Conferences such as the International Conference on Information Processing and ManagementofUncertainty in Knowledge-based Systems (IPMU) are being held to provide forums in which researchers can discuss the latest developments. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world's leading experts in uncertainty and information fusion. In this volume we have included a selection ofpapers from this conference. What should be clear from looking at this volume is the number of different ways that are available for representing uncertain information. This variety in representational frameworks is a manifestation of the different types of uncertainty that appear in the information available to the users. Perhaps, the representation with the longest history is probability theory. This representation is best at addressing the uncertainty associated with the occurrence of different values for similar variables. This uncertainty is often described as randomness. Rough sets can be seen as a type of uncertainty that can deal effectively with lack of specificity, it is a powerful tool for manipulating granular information.
Categories: Mathematics

Load Balance For Distributed Real time Computing Systems

Load Balance For Distributed Real time Computing Systems

Subseries on Data Science and Engineering Published (continued from page ii) Vol. ... China) and Aoying Zhou (East China Normal University, China) Discovery and Fusion of Uncertain Knowledge in Data by Kun Yue (Yunnan University, ...

Author: Junhua Fang

Publisher: World Scientific

ISBN: 9789811216169

Category: Computers

Page: 260

View: 310

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

Time aware Conversion Prediction For E commerce

Time aware Conversion Prediction For E commerce

Subseries on Data Science and Engineering ISSN: 2382-5715 Chief Editor Weian Zheng Changjiang Chair Professor School of ... 6 Discovery and Fusion of Uncertain Knowledge in Data by Kun Yue (Yunnan University, China), Weiyi Liu (Yunnan ...

Author: Wang Xiaoling

Publisher: World Scientific

ISBN: 9789813224735

Category: Business & Economics

Page: 152

View: 160

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

Knowledge Management for the Intelligence Enterprise

Knowledge Management for the Intelligence Enterprise

Table 8.2 Comparison of Knowledge Detection and Discovery Methods Technology : Data Fusion Technology : Data Mining Knowledge Created Reasoning Process Knowledge Patterns Used to Detect / Discover Knowledge Detection / Discovery Process ...

Author: Edward Waltz

Publisher: Artech House

ISBN: 1580534864

Category: Business & Economics

Page: 357

View: 474

Annotation Written for professionals who are responsible for the management of an intelligence enterprise operation in either the military or corporate setting, this is the first easy-to-understand, system-level book that specifically applies knowledge management principles, practices and technologies to the intelligence domain.
Categories: Business & Economics

Multisensor Fusion

Multisensor Fusion

Define Knowledge Needs SENSOR Pre Process and Exploit Index Store and Fuse Understand and Visualize Acquire Detect ... search Datalinto Mining Manage Information Uncertainty USER Lovel 3 Fusion ( Throat Refinement ) Knowledge Discovery ...

Author: Anthony K. Hyder

Publisher: Springer Science & Business Media

ISBN: 140200723X

Category: Computers

Page: 944

View: 571

Proceedings of the NATO Advanced Study Institute on Multisensor Data Fusion, held in Pitlochry, Perthshire, Scotland, June 25-July 7, 2000
Categories: Computers

Uncertainty Handling and Quality Assessment in Data Mining

Uncertainty Handling and Quality Assessment in Data Mining

The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, ...

Author: Michalis Vazirgiannis

Publisher: Springer Science & Business Media

ISBN: 9781447100317

Category: Computers

Page: 226

View: 932

The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques.
Categories: Computers

Reasoning Web Learning Uncertainty Streaming and Scalability

Reasoning Web  Learning  Uncertainty  Streaming  and Scalability

Bryl, V., Bizer, C.: Learning conflict resolution strategies for cross-language Wikipedia data fusion. In: Proceedings of the 23rd ... In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data ...

Author: Claudia d’Amato

Publisher: Springer

ISBN: 9783030003388

Category: Computers

Page: 237

View: 270

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.
Categories: Computers

Marketing Intelligent Systems Using Soft Computing

Marketing Intelligent Systems Using Soft Computing

Data fusion has yet to be discovered by the traditional knowledge discovery and machine learning communities as a standard topic for research, though a relatively new area is developing around mining uncertain data – note fused data can ...

Author: Jorge Casillas

Publisher: Springer

ISBN: 9783642156069

Category: Computers

Page: 478

View: 540

Dr. Jay Liebowitz Orkand Endowed Chair in Management and Technology University of Maryland University College Graduate School of Management & Technology 3501 University Boulevard East Adelphi, Maryland 20783-8030 USA [email protected] edu When I first heard the general topic of this book, Marketing Intelligent Systems or what I’ll refer to as Marketing Intelligence, it sounded quite intriguing. Certainly, the marketing field is laden with numeric and symbolic data, ripe for various types of mining—data, text, multimedia, and web mining. It’s an open laboratory for applying numerous forms of intelligentsia—neural networks, data mining, expert systems, intelligent agents, genetic algorithms, support vector machines, hidden Markov models, fuzzy logic, hybrid intelligent systems, and other techniques. I always felt that the marketing and finance domains are wonderful application areas for intelligent systems, and this book demonstrates the synergy between marketing and intelligent systems, especially soft computing. Interactive advertising is a complementary field to marketing where intelligent systems can play a role. I had the pleasure of working on a summer faculty f- lowship with R/GA in New York City—they have been ranked as the top inter- tive advertising agency worldwide. I quickly learned that interactive advertising also takes advantage of data visualization and intelligent systems technologies to help inform the Chief Marketing Officer of various companies. Having improved ways to present information for strategic decision making through use of these technologies is a great benefit.
Categories: Computers

Knowledge Discovery Knowledge Engineering and Knowledge Management

Knowledge Discovery  Knowledge Engineering and Knowledge Management

Representation of uncertain knowledge: The representation of uncertain knowledge (as the result of incomplete, imprecise, inconsistent and defective data) and the handling of this type of knowledge is another important requirement ...

Author: Ana Fred

Publisher: Springer Science & Business Media

ISBN: 9783642190315

Category: Computers

Page: 411

View: 328

This book constitutes the thoroughly refereed post-conference proceedings of the First International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2009, held in Funchal, Madeira, Portugal, in October 2009. This book includes revised and extended versions of a strict selection of the best papers presented at the conference; 27 revised full papers together with 3 invited lectures were carefully reviewed and selected from 369 submissions. According to the three covered conferences KDIR 2009, KEOD 2009, and KMIS 2009, the papers are organized in topical sections on on knowledge discovery and information retrieval, knowledge engineering and ontology development, and on knowledge management and information sharing.
Categories: Computers

Information Processing and Management of Uncertainty in Knowledge Based Systems

Information Processing and Management of Uncertainty in Knowledge Based Systems

In this paper, we introduce an uncertain data mining driven model for knowledge discovery in chemical database. We aim at discovering relationship between molecule ... The prediction is performed using association rule fusion technique.

Author: Joao Paulo Carvalho

Publisher: Springer

ISBN: 9783319405964

Category: Computers

Page: 738

View: 964

This two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016. The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspects of data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation.
Categories: Computers

Handbook of Research on Geoinformatics

Handbook of Research on Geoinformatics

An empirical spatial knowledge discovery technique has been offered for rough rule induction from spatial data ... discovery of decomposition of rules, fusion mechanism, uncertainty handling and adaptive spatio-temporal reasoning.

Author: Karimi, Hassan A.

Publisher: IGI Global

ISBN: 9781591409960

Category: Technology & Engineering

Page: 518

View: 506

"This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher.
Categories: Technology & Engineering

Interval Probabilistic Uncertainty and Non classical Logics

Interval   Probabilistic Uncertainty and Non classical Logics

A comparison of probabilistic, possibilistic and evidence theoretic fusion schemes for active object recognition. Computing 62, 293–319 (1999) 9. Bossé, ́E., Guitouni, A., ... Data Mining and Knowledge Discovery 1, 79–119 (1997) 18.

Author: Van-Nam Huynh

Publisher: Springer Science & Business Media

ISBN: 3540776648

Category: Mathematics

Page: 376

View: 449

This book contains the proceedings of the first International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics, Ishikawa, Japan, March 25-28, 2008. The workshop brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. It is hoped this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty.
Categories: Mathematics

Knowledge Based Intelligent Information and Engineering Systems

Knowledge Based Intelligent Information and Engineering Systems

Information Fusion for Uncertainty Determination in Video and Infrared Cameras System Cornel Barna Aurel Vlaicu ... In this paper a new view is presented, analyzing the uncertainty of the observation based on fusion data provided by ...

Author: Ignac Lovrek

Publisher: Springer Science & Business Media

ISBN: 9783540855668

Category: Business & Economics

Page: 817

View: 509

Delegates and friends, we are very pleased to extend to you a warm welcome to this, the 12th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems organised by the Faculty of Electrical Engineering and Computing at the University of Zagreb, in association with KES International. For over a decade, KES International has provided an annual wide-spectrum intelligent systems conference for the applied arti?cial intelligence researchc- munity. Having originated in Australia and been held there during 1997–99,the conference visited the UK in 2000,Japan in 2001, Italy in 2002,the UK in 2003, New Zealand in 2004, Australia in 2005, the UK in 2006, Italy in 2007, and now in Zagreb, Croatia in 2008. It is planned that KES 2009 will be held in Santiago, Chile before returning to the UK in 2010. The KES conference is - ture and regularlyattracts severalhundred delegates. As it encompassesa broad range of intelligent systems topics, it provides delegates with an opportunity to mix with researchers from other groups and learn from them. The conference is linked to the InternationalJournalof Intelligent and Knowledge-BasedSystems, published by IOS Press under KES editorship. Extended and enhanced versions of the best papers presented at the KES conference may be published in the Journal. In addition to the annual wide-range intelligent systems conference,KES has run successful symposia in several speci?c areas of the discipline. Agents and Multi-Agent Systems is a popular area of research.
Categories: Business & Economics