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Author : P. Hajek,T. Havranek
Publisher : Unknown
Page : 418 pages
File Size : 54,7 Mb
Release : 1978-04-01
Category : Electronic
ISBN : 3642669441
Author : Petr Hájek,Tomáš Havránek
Publisher : Springer
Page : 0 pages
File Size : 55,5 Mb
Release : 1978
Category : Artificial intelligence
ISBN : 0387087389
Author : P. Hajek,T. Havranek
Publisher : Springer Science & Business Media
Page : 410 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642669439
Hypothesis formation is known as one of the branches of Artificial Intelligence, The general question of Artificial IntelligencE' ,"Can computers think?" is specified to the question ,"Can computers formulate and justify hypotheses?" Various attempts have been made to answer the latter question positively. The present book is one such attempt. Our aim is not to formalize and mechanize the whole domain of inductive reasoning. Our ultimate question is: Can computers formulate and justify scientific hypotheses? Can they comprehend empirical data and process them rationally, using the apparatus of modern mathematical logic and statistics to try to produce a rational image of the observed empirical world? Theories of hypothesis formation are sometimes called logics of discovery. Plotkin divides a logic of discovery into a logic of induction: studying the notion of justification of a hypothesis, and a logic of suggestion: studying methods of suggesting reasonable hypotheses. We use this division for the organization of the present book: Chapter I is introductory and explains the subject of our logic of discovery. The rest falls into two parts: Part A - a logic of induction, and Part B - a logic of suggestion.
Author : Jan Rauch,Milan Šimůnek,David Chudán,Petr Máša
Publisher : CRC Press
Page : 362 pages
File Size : 44,9 Mb
Release : 2022-10-20
Category : Business & Economics
ISBN : 9781000777741
Mechanizing hypothesis formation is an approach to exploratory data analysis. Its development started in the 1960s inspired by the question “can computers formulate and verify scientific hypotheses?”. The development resulted in a general theory of logic of discovery. It comprises theoretical calculi dealing with theoretical statements as well as observational calculi dealing with observational statements concerning finite results of observation. Both calculi are related through statistical hypotheses tests. A GUHA method is a tool of the logic of discovery. It uses a one-to-one relation between theoretical and observational statements to get all interesting theoretical statements. A GUHA procedure generates all interesting observational statements and verifies them in a given observational data. Output of the procedure consists of all observational statements true in the given data. Several GUHA procedures dealing with association rules, couples of association rules, action rules, histograms, couples of histograms, and patterns based on general contingency tables are involved in the LISp-Miner system developed at the Prague University of Economics and Business. Various results about observational calculi were achieved and applied together with the LISp-Miner system. The book covers a brief overview of logic of discovery. Many examples of applications of the GUHA procedures to solve real problems relevant to data mining and business intelligence are presented. An overview of recent research results relevant to dealing with domain knowledge in data mining and its automation is provided. Firsthand experiences with implementation of the GUHA method in the Python language are presented.
Author : Jan Rauch
Publisher : Unknown
Page : 0 pages
File Size : 41,8 Mb
Release : 2022
Category : Automatic hypothesis formation
ISBN : 0367549824
"CRC Press is an imprint of the Taylor & Francis Group, an Informa business."
Author : Rosa Meo,Pier L. Lanzi,Mika Klemettinen
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 55,7 Mb
Release : 2004-07-28
Category : Computers
ISBN : 9783540224792
Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling. The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.
Author : Harrie de Swart,Ewa Orlowska,Gunther Schmidt,Marc Roubens
Publisher : Springer
Page : 280 pages
File Size : 47,7 Mb
Release : 2004-01-30
Category : Computers
ISBN : 9783540246152
Relational structures abound in our daily environment: relational databases, data mining, scaling procedures, preference relations, etc. As the documentation of scientific results achieved within the European COST Action 274, TARSKI, this book advances the understanding of relational structures and the use of relational methods in various application fields. The 12 revised full papers were carefully reviewed and selected for presentations. The papers are devoted to mechanization of relational reasoning, relational scaling and preferences, and algebraic and logical foundations of real world relations.
Author : Stefan Wellek
Publisher : CRC Press
Page : 431 pages
File Size : 54,5 Mb
Release : 2010-06-24
Category : Mathematics
ISBN : 1439808198
While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations
Author : Giuseppe Nicosia,Varun Ojha,Emanuele La Malfa,Gabriele La Malfa,Panos Pardalos,Giuseppe Di Fatta,Giovanni Giuffrida,Renato Umeton
Publisher : Springer Nature
Page : 605 pages
File Size : 44,5 Mb
Release : 2023-03-09
Category : Computers
ISBN : 9783031258916
This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1269 pages
File Size : 51,8 Mb
Release : 2010-09-10
Category : Computers
ISBN : 9780387098234
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
Author : Library of Congress,Library of Congress. Subject Cataloging Division,Library of Congress. Office for Subject Cataloging Policy
Publisher : Unknown
Page : 1624 pages
File Size : 45,5 Mb
Release : 2013
Category : Subject headings, Library of Congress
ISBN : MINN:30000009706932
Author : Library of Congress. Cataloging Policy and Support Office
Publisher : Unknown
Page : 1512 pages
File Size : 49,7 Mb
Release : 2007
Category : Subject headings, Library of Congress
ISBN : UOM:39015066169619
Author : Zbigniew W Ras,Agnieszka Dardzinska
Publisher : Springer Science & Business Media
Page : 396 pages
File Size : 44,8 Mb
Release : 2009-10-27
Category : Computers
ISBN : 9783642021893
Data Management is the process of planning, coordinating and controlling data resources. More often, applications need to store and search a large amount of data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances in hardware and computing techniques. This volume focuses on its recent advances and it is composed of five parts and a total of eighteen chapters. The first part of the book contains five contributions in the area of information retrieval and Web intelligence: a novel approach to solving index selection problem, integrated retrieval from Web of documents and data, bipolarity in database querying, deriving data summarization through ontologies, and granular computing for Web intelligence. The second part of the book contains four contributions in knowledge discovery area. Its third part contains three contributions in information integration and data security area. The remaining two parts of the book contain six contributions in the area of intelligent agents and applications of data management in medical domain.
Author : Library of Congress. Office for Subject Cataloging Policy
Publisher : Unknown
Page : 1622 pages
File Size : 47,6 Mb
Release : 1990
Category : Subject headings, Library of Congress
ISBN : UOM:39015020244284
Author : Library of Congress. Subject Cataloging Division
Publisher : Unknown
Page : 1314 pages
File Size : 40,8 Mb
Release : 1980
Category : Subject headings
ISBN : NWU:35556011334711
