Knowledge Mining Using Intelligent Agents

Knowledge Mining Using Intelligent Agents

By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge ...

Author: Satchidananda Dehuri

Publisher: World Scientific

ISBN: 9781848163867

Category: Business & Economics

Page: 313

View: 461

Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
Categories: Business & Economics

Knowledge Mining

Knowledge Mining

The book presents results from the application of knowledge mining techniques in various sector of the academic and indystrial research.

Author: Spiros Sirmakessis

Publisher: Springer

ISBN: 9783540323945

Category: Computers

Page: 290

View: 939

Text mining is an exciting application ?eld and an area of scienti?c - search that is currently under rapid development. It uses techniques from well-established scienti?c ?elds (e. g. data mining, machine learning, infor- tion retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an e?ort to help people gain insight, und- stand and interpret large quantities of (usually) semi-structured and unstr- tured data. Despite the advances made during the last few years, many issues remain unresolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identi?ed, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the ?eld of Text Mining – especially in relation to IT – and whether there still remain areas to be covered. Knowledge Mining draws upon many of the key concepts of knowledge management, data mining and knowledge discovery, meta-analysis and data visualization. Within the context of scienti?c research, knowledge mining is principally concerned with the quantitative synthesis and visualization of - search results and ?ndings. The results of knowledge mining are increased scienti?c understanding along with improvements in research quality and value. Knowledge mining products can be used to highlight research opportunities, assist with the p- sentation of “best” scienti?c evidence, facilitate research portfolio mana- ment, as well as, facilitate policy setting and decision making.
Categories: Computers

Knowledge Mining

Knowledge Mining

Author: Christopher J. Asakiewicz

Publisher:

ISBN: OCLC:57810773

Category: Data mining

Page: 240

View: 213

Categories: Data mining

Data Mining and Data Visualization

Data Mining and Data Visualization

DOI 10.1016/S0169-7161(04)24002-0 From Data Mining to Knowledge Mining
Kenneth A. Kaufman and Ryszard S. Michalski Abstract In view of the
tremendous production of computer data worldwide, there is a strong need for
new powerful ...

Author:

Publisher: Elsevier

ISBN: 0080459404

Category: Mathematics

Page: 800

View: 360

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights
Categories: Mathematics

Foundations of Data Mining and Knowledge Discovery

Foundations of Data Mining and Knowledge Discovery

Improved Knowledge Mining with the Multimethod Approach Mitja Lenič , Peter
Kokol , Milan Zorman , Petra Povalej , Bruno Stiglic , and Ryuichi Yamamoto
Laboratory for system design , Faculty of Electrical Engineering and Computer ...

Author: Tsau Young Lin

Publisher: Springer Science & Business Media

ISBN: 3540262571

Category: Computers

Page: 378

View: 947

"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.
Categories: Computers

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining

To discover actionable knowledge from data embedded in the above constraints,
it is essential to slough off the superficial and captures the essential information
from the data mining. However, this is a non-trivial task. Tricks may not only ...

Author: Wee Keong Ng

Publisher: Springer

ISBN: 9783540332077

Category: Computers

Page: 879

View: 631

This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more.
Categories: Computers

New Advances in Intelligent Decision Technologies

New Advances in Intelligent Decision Technologies

Knowledge mining is the process of deriving new and useful knowledge from
vast volumes of data and patterns previously discovered and stored as
background knowledge. We propose a knowledge-mining system as a repertoire
of tools for ...

Author: Gloria Phillips-Wren

Publisher: Springer Science & Business Media

ISBN: 9783642009082

Category: Computers

Page: 656

View: 382

IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT’09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.
Categories: Computers

Data Mining and Medical Knowledge Management Cases and Applications

Data Mining and Medical Knowledge Management  Cases and Applications

Case-based reasoning in IVF: Prediction and knowledge mining. Artificial
Intelligence in Medicine, 12(1), 1-24. Kadambe, S., Murray, R., & Boudreaux-
Bartels, G. F. (1999). Wavelet transformed-based QRS complex detector. IEEE
Trans.

Author: Berka, Petr

Publisher: IGI Global

ISBN: 9781605662190

Category: Computers

Page: 464

View: 955

The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.
Categories: Computers

Social and Political Implications of Data Mining Knowledge Management in E Government

Social and Political Implications of Data Mining  Knowledge Management in E Government

Knowledge Management in E-Government Rahman, Hakikur. Kazemzadeh, R.S.
and Sartipi, K. (2006), Incoporating Data Mining Applications into Clinical
Guildelines. In Proceedings of the 19th IEEE Symposium on Computer-Based
Medical ...

Author: Rahman, Hakikur

Publisher: IGI Global

ISBN: 9781605662312

Category: Computers

Page: 378

View: 636

"This book focuses on the data mining and knowledge management implications that lie within online government"--Provided by publisher.
Categories: Computers

Uncertainty Handling and Quality Assessment in Data Mining

Uncertainty Handling and Quality Assessment in Data Mining

Knowledge Discovery in Databases (KDD) refers to the process of extracting
knowledge from large data repositories. The term Data Mining is also used as a
synonym to Knowledge Discovery in Databases, as well as to refer to the actual ...

Author: Michalis Vazirgiannis

Publisher: Springer Science & Business Media

ISBN: 1852336552

Category: Business & Economics

Page: 226

View: 556

Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveiling and handling uncertainty. Coverage of quality assessment begins with an introduction to cluster analysis and a comparison of the methods and approaches that may be used. The techniques and algorithms involved in other essential data mining tasks, such as classification and extraction of association rules, are also discussed together with a review of the quality criteria and techniques for evaluating the data mining results. This book presents a general framework for assessing quality and handling uncertainty which is based on tested concepts and theories. This framework forms the basis of an implementation tool, 'Uminer' which is introduced to the reader for the first time. This tool supports the key data mining tasks while enhancing the traditional processes for handling uncertainty and assessing quality. Aimed at IT professionals involved with data mining and knowledge discovery, the work is supported with case studies from epidemiology and telecommunications that illustrate how the tool works in 'real world' data mining projects. The book would also be of interest to final year undergraduates or post-graduate students looking at: databases, algorithms, artificial intelligence and information systems particularly with regard to uncertainty and quality assessment.
Categories: Business & Economics

Intelligent Information Processing and Web Mining

Intelligent Information Processing and Web Mining

... knowledge query language that facilitates the creation of scripts for automated
knowledge discovery, how to visualize complex regularities, and how to
implement knowledge mining in temporal datasets. Potential approaches to this
problem ...

Author: Mieczyslaw A. Klopotek

Publisher: Springer Science & Business Media

ISBN: 3540008438

Category: Business & Economics

Page: 579

View: 386

This volume contains articles accepted for presentation during The Intelligent Information Processing and Web Mining Conference IIS:IIPWM'03 which was held in Zakopane, Poland, on June 2-5, 2003. This conference extends a series of 12 successful symposia on Intelligent Information Systems, organized by the Institute of Computer Science of Polish Academy of Sciences, devoted to new trends in (broadly understood) Artificial Intelligence. The idea of organizing such meetings dates back to 1992. Our main in tention guided the first, rather small-audience, workshop in the series was to resume the results gained in Polish scientific centers as well as contrast them with the research performed by Polish scientists working at the universities in Europe and USA and their foreign collaborators. This idea proved to be attractive enough that we decided to continue such meetings. As the years went by, the workshops has transformed into regular symposia devoted to such fields like Machine Learning, Knowledge Discovery, Natural Language Processing, Knowledge Based Systems and Reasoning, and Soft Computing (i. e. Fuzzy and Rough Sets, Bayesian Networks, Neural Networks and Evo lutionary Algorithms). At present, about 50 papers prepared by researches from Poland and other countries are usually presented. This year conference is an attempt to draw a much broader international audience on the one hand, and to devote much more attention to the newest developments in the area of Artificial Intelligence. Therefore special calls for contributions on artificial immune systems and search engines.
Categories: Business & Economics

Knowledge based Intelligent Information and Engineering Systems

Knowledge based Intelligent Information and Engineering Systems

Keywords: Data mining, Knowledge Association Rules, Recommender systems.
1 Introduction Data mining, also referred to as knowledge discovery in databases
, has been defined as a process of non-trivial extraction of implicit, previously ...

Author: Ignac Lovrek

Publisher: Springer Science & Business Media

ISBN: 9783540855620

Category: Business & Economics

Page: 788

View: 750

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

Mobility Data Mining and Privacy

Mobility  Data Mining and Privacy

Today, knowledge discovery from geographic data is still an open research field
but promises to be a solid starting point for developing solutions for mining
spatiotemporal patterns in a knowledge-rich territory. As many concepts of
geographic ...

Author: Fosca Giannotti

Publisher: Springer Science & Business Media

ISBN: 3540751777

Category: Computers

Page: 410

View: 826

Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and technological issues of mobility data, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, and this book relates their findings in 13 chapters covering all related subjects.
Categories: Computers

The Semantic Web for Knowledge and Data Management

The Semantic Web for Knowledge and Data Management

There are also some otherwork aimingatusing semantics for webmining and
mining the Semantic Web. For example, In (Hotho, Maedche, and Staab, 2001),
ontologies are used as background knowledge during preprocessing, with the
aim of ...

Author: Ma, Zongmin

Publisher: IGI Global

ISBN: 9781605660295

Category: Computers

Page: 386

View: 211

Provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data.
Categories: Computers

Scientific Data Mining and Knowledge Discovery

Scientific Data Mining and Knowledge Discovery

The contributions in this book provide the reader with a complete view of the different tools used in the analysis of data for scientific discovery.

Author: Mohamed Medhat Gaber

Publisher: Springer Science & Business Media

ISBN: 9783642027888

Category: Computers

Page: 400

View: 544

Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied” by Herbert A. Simon (1916-2001) 1Overview This book suits both graduate students and researchers with a focus on discovering knowledge from scienti c data. The use of computational power for data analysis and knowledge discovery in scienti c disciplines has found its roots with the re- lution of high-performance computing systems. Computational science in physics, chemistry, and biology represents the rst step towards automation of data analysis tasks. The rational behind the developmentof computationalscience in different - eas was automating mathematical operations performed in those areas. There was no attention paid to the scienti c discovery process. Automated Scienti c Disc- ery (ASD) [1–3] represents the second natural step. ASD attempted to automate the process of theory discovery supported by studies in philosophy of science and cognitive sciences. Although early research articles have shown great successes, the area has not evolved due to many reasons. The most important reason was the lack of interaction between scientists and the automating systems.
Categories: Computers

Knowledge Discovery Practices and Emerging Applications of Data Mining Trends and New Domains

Knowledge Discovery Practices and Emerging Applications of Data Mining  Trends and New Domains

Data Mining and Knowledge Discovery in databases have been attracting a
significantamount of research, industry, and media attention of late. Data Mining
may be defined as the process of extracting trends or patterns from data and the ...

Author: Kumar, A.V. Senthil

Publisher: IGI Global

ISBN: 9781609600693

Category: Computers

Page: 414

View: 990

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.
Categories: Computers

Web Data Mining and Applications in Business Intelligence and Counter Terrorism

Web Data Mining and Applications in Business Intelligence and Counter Terrorism

There is a clear need to analyze the data to support planning and other functions
of an enterprise. Various terms have been used to refer to data mining, as shown
in Exhibit 1. These include knowledge/data/information/pattern discovery and ...

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 0203499514

Category: Computers

Page: 544

View: 412

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence. Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions. The author, a program director for Data and Applications Security at the National Science Foundations, details how both opportunities and dangers on the Web can be identified and managed. Armed with the knowledge contained in this book, businesses can collect and analyze Web-based data to help develop customer relationships, increase sales, and identify existing and potential threats. Organizations can apply these same Web mining techniques to battle the real and present danger of terrorism, demonstrating Web mining's critical role in the intelligence arsenal.
Categories: Computers

Information Modelling and Knowledge Bases XXIV

Information Modelling and Knowledge Bases XXIV

All rights reserved. doi:10.3233/978-161499-177-9-314 Knowledge Mining of
Web Service Usage Jari SOININEN “*1, Hannu JAAKKOLA a a T ampere
University of Technology (Pori) Abstract. Website usage continues to increase,
while the ...

Author: Peter Vojtas

Publisher: IOS Press

ISBN: 9781614991762

Category: Computers

Page: 376

View: 230

With the growth in our reliance on information systems and computer science information modeling and knowledge bases have become a focus for academic attention and research. The amount and complexity of information, the number of levels of abstraction and the size of databases and knowledge bases all continue to increase, and new challenges and problems arise every day.This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes such as the design and specification of information systems, software engineering and knowledge and process management.
Categories: Computers