Principles of data mining and knowledge discovery : First European Symposium, PKDD '97, Trondheim, Norway, June 24 27, 1997 : proceedings
This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tuto...
Wedi'i Gadw mewn:
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| Awduron Eraill: | , |
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Cyfres: | Lecture notes in computer science. Lecture notes in artificial intelligence
1263 |
| Pynciau: | |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| Edition sous un autre format: | • Principles of data mining and knowledge discovery, First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997, proceedings, Jan Komorowski, Jan Zytkow, eds, 1997, Berlin, Springer, 1 vol. (IX-396 p.), Lecture notes in computer science, 3-540-63223-9 • Principles of Data Mining and Knowledge Discovery, Texte imprimé, 9783662163917 |
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| 111 | 2 | |a European Conference on Principles and Practice of Knowledge Discovery in Databases |n (01 |d :1997 |c :Trondheim, Norvège). | |
| 245 | 1 | 0 | |a Principles of data mining and knowledge discovery : |b First European Symposium, PKDD '97, Trondheim, Norway, June 24 27, 1997 : proceedings |c [edited by] Jan Komorowski, Jan Zytkow. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 1263 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Knowledge discovery A control theory perspective -- Modelling customer retention with Rough Data Models -- Share based measures for itemsets -- Parallel knowledge discovery using domain generalization graphs -- Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems -- Logical calculi for knowledge discovery in databases -- Extraction of experts' decision process from clinical databases using rough set model -- Discovering of health risks and case-based forecasting of epidemics in a health surveillance system -- An algorithm for multi-relational discovery of subgroups -- Finding similar time series -- Exploration of document collections with self-organizing maps: A novel approach to similarity representation -- Pattern based browsing in document collections -- Induction of fuzzy characteristic rules -- Regression-based classification methods and their comparison with decision tree algorithms -- Attribute discovery and rough sets -- Generation of rules from incomplete information systems -- Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement -- Efficient multisplitting on numerical data -- SNOUT: An intelligent assistant for exploratory data analysis -- Exploratory analysis of biochemical processes using hybrid modeling methods -- Using signature files for querying time-series data -- A new and versatile method for association generation -- Bivariate decision trees -- Towards process-oriented tool support for knowledge discovery in databases -- A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection -- Searching for relational patterns in data -- Finding spatial clusters -- Interactive interpretation of hierarchical clustering -- The principle of transformation between efficiency and effectiveness: Towards a fair evaluation of the cost-effectiveness of KDD techniques -- Recognizing reliabilityof discovered knowledge -- Clustering techniques in biological sequence analysis -- TOAS intelligence mining; analysis of natural language processing and computational linguistics -- Algorithms for constructing of decision trees -- Mining in the phrasal frontier -- Mining time series using rough sets A case study -- Neural networks design: Rough set approach to continuous data -- On meta levels of an organized society of KDD agents -- Using neural network to extract knowledge from database -- Induction of strong feature subsets -- Rough sets for data mining and knowledge discovery -- Techniques and applications of KDD -- A tutorial introduction to high performance data mining -- Data mining in the telecommunications industry. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications. | ||
| 650 | |a Informatique | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Acquisition des connaissances (systèmes experts) | ||
| 650 | |a Informatique documentaire | ||
| 650 | |a Multimédias | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Komorowski, Jan, |d 1952- |4 pbd | |
| 700 | 1 | |a Żytkow, Jan M., |d 1944-2001. |4 pbd | |
| 776 | 0 | |0 031536433 |t Principles of data mining and knowledge discovery |o First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 |o proceedings |f Jan Komorowski, Jan Zytkow, eds |d 1997 |c Berlin |n Springer |p 1 vol. (IX-396 p.) |s Lecture notes in computer science |z 3-540-63223-9 | |
| 776 | 0 | |t Principles of Data Mining and Knowledge Discovery |b Texte imprimé |z 9783662163917 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/3-540-63223-9 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-867FTPSX-G |z Accès sur la plateforme Istex | |
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| 856 | 4 | |5 180339901:754024660 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/3-540-63223-9 |z Accès INSA CVL | |
| 997 | |0 969224 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||