Reliable Knowledge Discovery

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Reliable Knowledge Discovery

Author : Honghua Dai
Publisher : Springer Science & Business Media
ISBN 13 : 1461419034
Total Pages : 317 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Reliable Knowledge Discovery by : Honghua Dai

Download or read book Reliable Knowledge Discovery written by Honghua Dai and published by Springer Science & Business Media. This book was released on 2012-02-23 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a broad spectrum of applications, especially in critical domains like medicine, finance, and military. Reliable Knowledge Discovery also presents methods and techniques for designing robust knowledge-discovery processes. Approaches to assessing the reliability of the discovered knowledge are introduced. Particular attention is paid to methods for reliable feature selection, reliable graph discovery, reliable classification, and stream mining. Estimating the data trustworthiness is covered in this volume as well. Case studies are provided in many chapters. Reliable Knowledge Discovery is designed for researchers and advanced-level students focused on computer science and electrical engineering as a secondary text or reference. Professionals working in this related field and KDD application developers will also find this book useful.

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Author : Ashok N. Srivastava
Publisher : CRC Press
ISBN 13 : 1439841799
Total Pages : 489 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Machine Learning and Knowledge Discovery for Engineering Systems Health Management by : Ashok N. Srivastava

Download or read book Machine Learning and Knowledge Discovery for Engineering Systems Health Management written by Ashok N. Srivastava and published by CRC Press. This book was released on 2016-04-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Machine Learning and Knowledge Discovery in Databases. Research Track

Author : Albert Bifet
Publisher : Springer Nature
ISBN 13 : 3031703626
Total Pages : 512 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases. Research Track by : Albert Bifet

Download or read book Machine Learning and Knowledge Discovery in Databases. Research Track written by Albert Bifet and published by Springer Nature. This book was released on with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Methods for Knowledge Discovery from Complex Data

Author : Ujjwal Maulik
Publisher : Springer Science & Business Media
ISBN 13 : 1846282845
Total Pages : 375 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Advanced Methods for Knowledge Discovery from Complex Data by : Ujjwal Maulik

Download or read book Advanced Methods for Knowledge Discovery from Complex Data written by Ujjwal Maulik and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.

Knowledge Discovery and Measures of Interest

Author : Robert J. Hilderman
Publisher : Springer Science & Business Media
ISBN 13 : 147573283X
Total Pages : 170 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Knowledge Discovery and Measures of Interest by : Robert J. Hilderman

Download or read book Knowledge Discovery and Measures of Interest written by Robert J. Hilderman and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Discovery and Measures of Interest is a reference book for knowledge discovery researchers, practitioners, and students. The knowledge discovery researcher will find that the material provides a theoretical foundation for measures of interest in data mining applications where diversity measures are used to rank summaries generated from databases. The knowledge discovery practitioner will find solid empirical evidence on which to base decisions regarding the choice of measures in data mining applications. The knowledge discovery student in a senior undergraduate or graduate course in databases and data mining will find the book is a good introduction to the concepts and techniques of measures of interest. In Knowledge Discovery and Measures of Interest, we study two closely related steps in any knowledge discovery system: the generation of discovered knowledge; and the interpretation and evaluation of discovered knowledge. In the generation step, we study data summarization, where a single dataset can be generalized in many different ways and to many different levels of granularity according to domain generalization graphs. In the interpretation and evaluation step, we study diversity measures as heuristics for ranking the interestingness of the summaries generated. The objective of this work is to introduce and evaluate a technique for ranking the interestingness of discovered patterns in data. It consists of four primary goals: To introduce domain generalization graphs for describing and guiding the generation of summaries from databases. To introduce and evaluate serial and parallel algorithms that traverse the domain generalization space described by the domain generalization graphs. To introduce and evaluate diversity measures as heuristic measures of interestingness for ranking summaries generated from databases. To develop the preliminary foundation for a theory of interestingness within the context of ranking summaries generated from databases. Knowledge Discovery and Measures of Interest is suitable as a secondary text in a graduate level course and as a reference for researchers and practitioners in industry.

Scalable and Accurate Knowledge Discovery in Real World Databases

Author : Martin Scholz
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis Scalable and Accurate Knowledge Discovery in Real World Databases by : Martin Scholz

Download or read book Scalable and Accurate Knowledge Discovery in Real World Databases written by Martin Scholz and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Methodologies for Knowledge Discovery and Data Mining

Author : Ning Zhong
Publisher : Springer Science & Business Media
ISBN 13 : 3540658661
Total Pages : 566 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Methodologies for Knowledge Discovery and Data Mining by : Ning Zhong

Download or read book Methodologies for Knowledge Discovery and Data Mining written by Ning Zhong and published by Springer Science & Business Media. This book was released on 1999-04-14 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.

Next Generation of Data Mining

Author : Hillol Kargupta
Publisher : CRC Press
ISBN 13 : 1420085875
Total Pages : 640 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Next Generation of Data Mining by : Hillol Kargupta

Download or read book Next Generation of Data Mining written by Hillol Kargupta and published by CRC Press. This book was released on 2008-12-24 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di

Machine Learning and Knowledge Discovery in Databases

Author : Bettina Berendt
Publisher : Springer
ISBN 13 : 3319461311
Total Pages : 321 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Bettina Berendt

Download or read book Machine Learning and Knowledge Discovery in Databases written by Bettina Berendt and published by Springer. This book was released on 2016-09-02 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Knowledge Discovery in Multiple Databases

Author : Shichao Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 0857293885
Total Pages : 237 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Knowledge Discovery in Multiple Databases by : Shichao Zhang

Download or read book Knowledge Discovery in Multiple Databases written by Shichao Zhang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.

Medical Data Mining and Knowledge Discovery

Author : Krzysztof J. Cios
Publisher : Physica
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Medical Data Mining and Knowledge Discovery by : Krzysztof J. Cios

Download or read book Medical Data Mining and Knowledge Discovery written by Krzysztof J. Cios and published by Physica. This book was released on 2001-01-12 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals like ECG, clinical information like temperature, cholesterol levels, etc., as well as the physician's interpretation. Those who deal with such data understand that there is a widening gap between data collection and data comprehension. Computerized techniques are needed to help humans address this problem. This volume is devoted to the relatively young and growing field of medical data mining and knowledge discovery. As more and more medical procedures employ imaging as a preferred diagnostic tool, there is a need to develop methods for efficient mining in databases of images. Other significant features are security and confidentiality concerns. Moreover, the physician's interpretation of images, signals, or other technical data, is written in unstructured English which is very difficult to mine. This book addresses all these specific features.

Advances in Knowledge Discovery and Data Mining, Part II

Author : Mohammed J. Zaki
Publisher : Springer Science & Business Media
ISBN 13 : 3642136710
Total Pages : 540 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining, Part II by : Mohammed J. Zaki

Download or read book Advances in Knowledge Discovery and Data Mining, Part II written by Mohammed J. Zaki and published by Springer Science & Business Media. This book was released on 2010-06 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th Pacific-Asia Conference, PAKDD 2010, held in Hyderabad, India, in June 2010.

Knowledge Discovery and Data Mining

Author : O. Maimon
Publisher : Springer Science & Business Media
ISBN 13 : 1475732961
Total Pages : 169 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Knowledge Discovery and Data Mining by : O. Maimon

Download or read book Knowledge Discovery and Data Mining written by O. Maimon and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

Knowledge Discovery in Databases: PKDD 2007

Author : Joost N. Kok
Publisher : Springer
ISBN 13 : 3540749764
Total Pages : 660 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Knowledge Discovery in Databases: PKDD 2007 by : Joost N. Kok

Download or read book Knowledge Discovery in Databases: PKDD 2007 written by Joost N. Kok and published by Springer. This book was released on 2007-08-30 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.

Machine Learning and Knowledge Discovery in Databases

Author : Walter Daelemans
Publisher : Springer Science & Business Media
ISBN 13 : 354087478X
Total Pages : 714 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Walter Daelemans

Download or read book Machine Learning and Knowledge Discovery in Databases written by Walter Daelemans and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Knowledge, Discovery and Imagination in Early Modern Europe

Author : Timothy J. Reiss
Publisher : Cambridge University Press
ISBN 13 : 9780521587952
Total Pages : 264 pages
Book Rating : 4.5/5 (879 download)

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Book Synopsis Knowledge, Discovery and Imagination in Early Modern Europe by : Timothy J. Reiss

Download or read book Knowledge, Discovery and Imagination in Early Modern Europe written by Timothy J. Reiss and published by Cambridge University Press. This book was released on 1997-03-13 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new explanation for the substantial changes of thought that occurred in early modern Europe.

Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes

Download Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes PDF Online Free

Author : Botticelli, Massimiliano
Publisher : KIT Scientific Publishing
ISBN 13 : 3731512955
Total Pages : 210 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes by : Botticelli, Massimiliano

Download or read book Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes written by Botticelli, Massimiliano and published by KIT Scientific Publishing. This book was released on 2023-07-03 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, a novel knowledge discovery framework able to analyze data produced in the Gasoline Direct Injection (GDI) context through machine learning is presented and validated. This approach is able to explore and exploit the investigated design spaces based on a limited number of observations, discovering and visualizing connections and correlations in complex phenomena. The extracted knowledge is then validated with domain expertise, revealing potential and limitations of this method.