Decouverte Et Gestion De Connaissances Dans Les Bases De Donnees Data Mining Une Approche Par Treillis De Concepts Frequents

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DECOUVERTE ET GESTION DE CONNAISSANCES DANS LES BASES DE DONNEES (DATA MINING)

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Author : KITSANA.. WAIYAMAI
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.:/5 (49 download)

Book Synopsis DECOUVERTE ET GESTION DE CONNAISSANCES DANS LES BASES DE DONNEES (DATA MINING) by : KITSANA.. WAIYAMAI

Download or read book DECOUVERTE ET GESTION DE CONNAISSANCES DANS LES BASES DE DONNEES (DATA MINING) written by KITSANA.. WAIYAMAI and published by . This book was released on 1999 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'OBJECTIF DE CE TRAVAIL CONSISTE A PROPOSER UNE NOUVELLE APPROCHE DE DECOUVERTE ET DE GESTION DE CONNAISSANCES DANS LES BASES DE DONNEES (DATA MINING). LE COEUR DE L'APPROCHE REPOSE SUR L'UTILISATION DU TREILLIS DE CONCEPTS FREQUENTS, CONSTRUIT A PARTIR D'UNE BASE DE DONNEES. UN TREILLIS DE CONCEPTS FREQUENTS EST DEFINI COMME UN TREILLIS FORME UNIQUEMENT DE CONCEPTS DONT LE SUPPORT DEPASSE UN CERTAIN SUPPORT INITIAL SPECIFIE PAR L'UTILISATEUR. NOUS PROPOSONS UN ENSEMBLE D'ALGORITHMES PERMETTANT LA CONSTRUCTION ET LA MISE A JOUR DES TREILLIS DE CONCEPTS FREQUENTS, POUR PRENDRE EN COMPTE L'EVOLUTION DES BASES DE DONNEES. NOUS PROPOSONS UN ENSEMBLE D'OPERATEURS POUR INTERROGER DES TREILLIS DE CONCEPTS FREQUENTS. OUTRE DES PRIMITIVES GENERALES D'EXPLOITATION DES TREILLIS, DEUX OPERATEURS D'EXTRACTION DE CONNAISSANCES SONT PROPOSES. LE PREMIER EST DEDIE A L'EXTRACTION DE CONCEPTS PERTINENTS (CONCEPTS SUFFISAMMENT GENERAUX PAR LE NOMBRE D'OBJETS CONCERNES ET SUFFISAMMENT INFORMATIFS PAR LE NOMBRE DE PROPRIETES IMPLIQUEES). L'AUTRE EST DESTINE AU CALCUL DE REGLES D'ASSOCIATION (ASSOCIATIONS ENTRE LES PROPRIETES AVEC SEUIL DE FREQUENCE ET DE CONFIANCE). AFIN DE BENEFICIER DES TECHNOLOGIES DEVELOPPEES DANS LE CONTEXTE DES BASES DE DONNEES, L'APPROCHE PROPOSEE EST IMPLEMENTEE DANS LE CONTEXTE DU SYSTEME DE GESTION DE BASES DE DONNEES O 2. NOUS DEVELOPPONS UN SCHEMA OBJET GENERIQUE BASE SUR LE MODELE OBJET O 2 POUR REPRESENTER TOUT TREILLIS DE CONCEPTS FREQUENTS. UN LANGAGE DE REQUETES QUI ETEND OQL PAR DES PRIMITIVES D'INTERROGATION DES TREILLIS DE CONCEPTS EST FORMALISE ET IMPLANTE.

Data Mining and Knowledge Discovery Handbook

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Author : Oded Maimon
Publisher : Springer Science & Business Media
ISBN 13 : 038725465X
Total Pages : 1378 pages
Book Rating : 4.3/5 (872 download)

Book Synopsis Data Mining and Knowledge Discovery Handbook by : Oded Maimon

Download or read book Data Mining and Knowledge Discovery Handbook written by Oded Maimon and published by Springer Science & Business Media. This book was released on 2006-05-28 with total page 1378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Data Mining: Concepts, Methodologies, Tools, and Applications

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Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466624566
Total Pages : 2335 pages
Book Rating : 4.4/5 (666 download)

Book Synopsis Data Mining: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Data Mining: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2012-11-30 with total page 2335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Big Data - Open data

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Author : Evelyne Broudoux
Publisher : De Boeck Supérieur
ISBN 13 : 2807300642
Total Pages : 267 pages
Book Rating : 4.8/5 (73 download)

Book Synopsis Big Data - Open data by : Evelyne Broudoux

Download or read book Big Data - Open data written by Evelyne Broudoux and published by De Boeck Supérieur. This book was released on 2016-12-30 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Du Big Data à l'Open Data, les enjeux techniques, sociétaux et industriels de l'exploitation massive de données informationnelles en ligne. Depuis 2006, la conférence « Document numérique et société » se donne pour mission d'apporter des éclairages sur les transformations des dispositifs d'information à l'ère numérique, en privilégiant la dimension sociale. Cette 5e édition se focalise sur l'effervescence autour du Big data et de l'Open data qui anime autant les milieux d'affaires que les gouvernements et les scientifiques. Elle s'explique par l'interconnexion généralisée transformant l'économie des services et les internautes en fournisseurs de données, mais également par l'importance grandissante de l'internet des objets et, d'une manière générale, par les capacités computationnelles qui traitent désormais l'information sur toute sa chaîne de production-diffusion et transformation. Cet ouvrage rassemble les textes présentés lors du colloque de Rabat les 4 et 5 mai 2015, des recherches théoriques, expérimentales et des analyses critiques qui s'inscrivent dans la perspective des études sur le phénomène du Big data et de l'Open data en termes d'enjeux pour nos sociétés et de création de valeurs. Pour les professionnels de l'information ; pour les chercheurs, enseignants et étudiants en information, documentation et humanités numériques.

Data Mining

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Author : Jiawei Han
Publisher : Morgan Kaufmann
ISBN 13 : 0128117613
Total Pages : 786 pages
Book Rating : 4.1/5 (281 download)

Book Synopsis Data Mining by : Jiawei Han

Download or read book Data Mining written by Jiawei Han and published by Morgan Kaufmann. This book was released on 2022-07-02 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining. - Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks - Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data mining methodologie and systems, and data mining and society - Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data - Visit the author-hosted companion site, https://hanj.cs.illinois.edu/bk4/ for downloadable lecture slides and errata

Contribution à la découverte de connaissances dans les bases de données

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Author : Saliha Smadhi
Publisher :
ISBN 13 :
Total Pages : 330 pages
Book Rating : 4.:/5 (49 download)

Book Synopsis Contribution à la découverte de connaissances dans les bases de données by : Saliha Smadhi

Download or read book Contribution à la découverte de connaissances dans les bases de données written by Saliha Smadhi and published by . This book was released on 1997 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: LES TRAVAUX EXPOSES DANS CE MEMOIRE ABORDENT LE PROBLEME DE L'EXTRACTION AUTOMATIQUE DES CONNAISSANCES A PARTIR DES BASES DE DONNEES QUI EST UN DES ASPECTS DE LA PROBLEMATIQUE DE LA DECOUVERTE DE CONNAISSANCES DANS LES BASES DE DONNEES (PLUS CONNUE SOUS L'APPELLATION DE KDD, DATA MINING). UNE PREMIERE CONTRIBUTION PORTE SUR LA PROPOSITION D'UNE METHODE D'EXTRACTION DE CONNAISSANCES FONDEE SUR L'UTILISATION D'UNE APPROCHE SYMBOLIQUE-NUMERIQUE BASEE SUR LES OBJETS SYMBOLIQUES. L'ORIGINALITE DE CETTE METHODE RESIDE DANS LE FAIT QU'ELLE UTILISE D'UNE PART LES INFORMATIONS POSITIVES, RESULTATS D'UNE REQUETE DE SELECTION, ET D'AUTRE PART LES INFORMATIONS NEGATIVES, DONNEES DE LA BASE QUI NE SATISFONT PAS LA REQUETE. TROIS TYPES DE REGLES SONT AINSI EXTRAITES: LES REGLES DE DECISION, LES REGLES D'EXCEPTION ET LES REGLES CARACTERISTIQUES. UNE DEUXIEME CONTRIBUTION PORTE SUR LES OBJETS SYMBOLIQUES PAR L'INTRODUCTION DE LA NOTION DE TREILLIS DE GALOIS D'OBJETS SYMBOLIQUES. NOUS PROPOSONS UN ALGORITHME D'EXPLORATION DE CE TYPE DE TREILLIS, POUR GENERER DES REGLES A PARTIR DE CERTAINES PROPRIETES EXTRAITES D'UNE VUE D'UNE BASE DE DONNEES. L'IMPLEMENTATION INFORMATIQUE DE LA METHODE KDSO (KNOWLEDGE DISCOVERY BY SYMBOLIC OBJECTS) EST PRESENTEE

Data Mining

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Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1482252503
Total Pages : 292 pages
Book Rating : 4.4/5 (822 download)

Book Synopsis Data Mining by : Bhavani Thuraisingham

Download or read book Data Mining written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2014-01-23 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision sup

Data Mining

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Author : Richard J. Roiger
Publisher : CRC Press
ISBN 13 : 1498763995
Total Pages : 634 pages
Book Rating : 4.4/5 (987 download)

Book Synopsis Data Mining by : Richard J. Roiger

Download or read book Data Mining written by Richard J. Roiger and published by CRC Press. This book was released on 2017-01-06 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools. Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more. The text provides in-depth coverage of RapidMiner Studio and Weka’s Explorer interface. Both software tools are used for stepping students through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining experience.

Foundations of Data Mining and Knowledge Discovery

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Author : Tsau Young Lin
Publisher : Springer Science & Business Media
ISBN 13 : 9783540262572
Total Pages : 400 pages
Book Rating : 4.2/5 (625 download)

Book Synopsis Foundations of Data Mining and Knowledge Discovery by : Tsau Young Lin

Download or read book Foundations of Data Mining and Knowledge Discovery written by Tsau Young Lin and published by Springer Science & Business Media. This book was released on 2005-09-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Knowledge Discovery and Data Mining: Challenges and Realities

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Author : Zhu, Xingquan
Publisher : IGI Global
ISBN 13 : 1599042541
Total Pages : 290 pages
Book Rating : 4.5/5 (99 download)

Book Synopsis Knowledge Discovery and Data Mining: Challenges and Realities by : Zhu, Xingquan

Download or read book Knowledge Discovery and Data Mining: Challenges and Realities written by Zhu, Xingquan and published by IGI Global. This book was released on 2007-04-30 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality data. Contributions also focus on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing"--Provided by publisher.

Data Mining

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Author : Jiawei Han
Publisher :
ISBN 13 : 9788181470492
Total Pages : 550 pages
Book Rating : 4.4/5 (74 download)

Book Synopsis Data Mining by : Jiawei Han

Download or read book Data Mining written by Jiawei Han and published by . This book was released on 2001 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Innovations in Big Data Mining and Embedded Knowledge

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Author : Anna Esposito
Publisher : Springer
ISBN 13 : 3030159396
Total Pages : 286 pages
Book Rating : 4.0/5 (31 download)

Book Synopsis Innovations in Big Data Mining and Embedded Knowledge by : Anna Esposito

Download or read book Innovations in Big Data Mining and Embedded Knowledge written by Anna Esposito and published by Springer. This book was released on 2019-07-03 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies

Data Preparation for Data Mining

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Author : Dorian Pyle
Publisher : Morgan Kaufmann
ISBN 13 : 9781558605299
Total Pages : 566 pages
Book Rating : 4.6/5 (52 download)

Book Synopsis Data Preparation for Data Mining by : Dorian Pyle

Download or read book Data Preparation for Data Mining written by Dorian Pyle and published by Morgan Kaufmann. This book was released on 1999-03-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.

Database Support for Data Mining Applications

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Author : Rosa Meo
Publisher : Springer Science & Business Media
ISBN 13 : 3540224793
Total Pages : 336 pages
Book Rating : 4.5/5 (42 download)

Book Synopsis Database Support for Data Mining Applications by : Rosa Meo

Download or read book Database Support for Data Mining Applications written by Rosa Meo and published by Springer Science & Business Media. This book was released on 2004-07-28 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining

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Author : Krzysztof J. Cios
Publisher : Springer Science & Business Media
ISBN 13 : 0387367950
Total Pages : 601 pages
Book Rating : 4.3/5 (873 download)

Book Synopsis Data Mining by : Krzysztof J. Cios

Download or read book Data Mining written by Krzysztof J. Cios and published by Springer Science & Business Media. This book was released on 2007-10-05 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area. The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it contains appendices of relevant mathematical material.

Data Mining Methods and Applications

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Author : Kenneth D. Lawrence
Publisher : CRC Press
ISBN 13 : 1420013734
Total Pages : 334 pages
Book Rating : 4.4/5 (2 download)

Book Synopsis Data Mining Methods and Applications by : Kenneth D. Lawrence

Download or read book Data Mining Methods and Applications written by Kenneth D. Lawrence and published by CRC Press. This book was released on 2007-12-22 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management

Predictive Data Mining

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Author : Sholom M. Weiss
Publisher : Morgan Kaufmann
ISBN 13 : 9781558604032
Total Pages : 244 pages
Book Rating : 4.6/5 (4 download)

Book Synopsis Predictive Data Mining by : Sholom M. Weiss

Download or read book Predictive Data Mining written by Sholom M. Weiss and published by Morgan Kaufmann. This book was released on 1998 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first technical guide to provide a complete, generalized road map for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.