LEADER 02556 am 2200457 n 450 001 9910214949803321 005 20161123 010 $a2-940599-20-3 024 7 $a10.4000/books.contrechamps.1433 035 $a(CKB)3710000001633143 035 $a(FrMaCLE)OB-contrechamps-1433 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/46551 035 $a(PPN)202674738 035 $a(EXLCZ)993710000001633143 100 $a20170529j|||||||| ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEntretiens avec Claude Helffer /$fPhilippe Albèra, Claude Helffer 210 $aGenève $cÉditions Contrechamps$d2016 215 $a1 online resource (160 p.) 311 $a2-940068-04-6 330 $aClaude Helffer, né le 28 juin 1922 à Paris, fait partie de ces interprètes d'exception qui accompagnent et suscitent la création, témoins actifs d'une époque et médiateurs privilégiés entre les compositeurs et le public. Élève de Robert Casadesus (pour le piano) et de René Leibowitz (pour l'écriture), diplômé de l'École Polytechnique, engagé dans les combats de son temps comme dans les différents mouvements de la création musicale, Claude Helffer a mené une grande carrière de soliste, sans négliger les ensembles de musique contemporaine (il participa à l'aventure du Domaine Musical dès ses débuts) ni la musique de chambre. Il a créé un grand nombre d'?uvres, certaines ayant été composées à son intention, et il est devenu l'interprète de prédilection de certains compositeurs comme Boulez ou Xenakis. Il retrace ici sa trajectoire, livrant ses convictions et ses souvenirs, développant sa conception de l'enseignement, parlant des compositeurs qu'il a fréquentés, racontant son travail avec des chefs illustres. C'est à la fois le portrait d'un musicien inspiré, passionné, généreux, et celui d'une époque foisonnante qu'il a marquée de sa personnalité. 606 $aPianists$zFrance$xInterviews 610 $apiano 610 $aXXème siècle 610 $acomposition 610 $aanalyse musicale 610 $amusique 615 0$aPianists$xInterviews. 676 $a786.2/092 700 $aAlbèra$b Philippe$0706715 701 $aHelffer$b Claude$01234512 701 $aAlbèra$b Philippe$0706715 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910214949803321 996 $aEntretiens avec Claude Helffer$93031859 997 $aUNINA LEADER 01796oam 2200469M 450 001 9910716374803321 005 20200213070554.2 035 $a(CKB)5470000002520385 035 $a(OCoLC)1065896360 035 $a(OCoLC)995470000002520385 035 $a(EXLCZ)995470000002520385 100 $a20071213d1926 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSeventh International Dental Congress. April 13, 1926. -- Committed to the Committee of the Whole House on the State of the Union and ordered to be printed 210 1$a[Washington, D.C.] :$c[U.S. Government Printing Office],$d1926. 215 $a1 online resource (3 pages) 225 1 $aHouse report / 69th Congress, 1st session. House ;$vno. 865 225 1 $a[United States congressional serial set] ;$v[serial no. 8533] 300 $aBatch processed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aFDLP item number not assigned. 606 $aClergy conferences 606 $aCongresses and conventions 606 $aDentistry 606 $aLegislative amendments 608 $aLegislative materials.$2lcgft 615 0$aClergy conferences. 615 0$aCongresses and conventions. 615 0$aDentistry. 615 0$aLegislative amendments. 701 $aFairchild$b Benjamin Lewis$f1863-$pRepublican (NY)$01395402 801 0$bWYU 801 1$bWYU 801 2$bOCLCO 801 2$bOCLCQ 906 $aBOOK 912 $a9910716374803321 996 $aSeventh International Dental Congress. April 13, 1926. -- Committed to the Committee of the Whole House on the State of the Union and ordered to be printed$93510546 997 $aUNINA LEADER 08751nam 22008175 450 001 9910143597403321 005 20200702115021.0 010 $a3-540-45357-1 024 7 $a10.1007/3-540-45357-1 035 $a(CKB)1000000000211482 035 $a(SSID)ssj0000320990 035 $a(PQKBManifestationID)11937813 035 $a(PQKBTitleCode)TC0000320990 035 $a(PQKBWorkID)10262946 035 $a(PQKB)11752853 035 $a(DE-He213)978-3-540-45357-4 035 $a(MiAaPQ)EBC3072807 035 $a(PPN)155232649 035 $a(EXLCZ)991000000000211482 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Knowledge Discovery and Data Mining $e5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings /$fedited by David Cheung, Graham J. Williams, Qing Li 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (XVII, 599 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2035 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-41910-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aKeynote Presentations -- Incompleteness in Data Mining -- Mining E-Commerce Data: The Good, the Bad, and the Ugly -- Seamless Integration of Data Mining with DBMS and Applications -- Web Mining -- Applying Pattern Mining to Web Information Extraction -- Empirical Study of Recommender Systems Using Linear Classifiers -- iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping -- A Characterized Rating Recommend System -- Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents -- Text Mining -- Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification -- Predictive Self-Organizing Networks for Text Categorization -- Meta-learning Models for Automatic Textual Document Categorization -- Efficient Algorithms for Concept Space Construction -- Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks -- Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps -- Applications and Tools -- Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis -- A Toolbox Approach to Flexible and Efficient Data Mining -- Determining Progression in Glaucoma Using Visual Fields -- Seabreeze Prediction Using Bayesian Networks -- Semi-supervised Learning in Medical Image Database -- On Application of Rough Data Mining Methods to Automatic Construction of Student Models -- Concept Hierarchies -- Concept Approximation in Concept Lattice -- Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data -- Representing Large Concept Hierarchies Using Lattice Data Structure -- Feature Selection -- Feature Selection for Temporal Health Records -- Boosting the Performance of Nearest Neighbour Methods with Feature Selection -- Feature Selection for Meta-learning -- Interestingness -- Efficient Mining of Niches and Set Routines -- Evaluation of Interestingness Measures for Ranking Discovered Knowledge -- Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data -- Sequence Mining -- Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control -- Scalable Hierarchical Clustering Method for Sequences of Categorical Values -- FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences -- Sequential Index Structure for Content-Based Retrieval -- Spatial and Temporal Mining -- The S 2-Tree: An Index Structure for Subsequence Matching of Spatial Objects -- Temporal Data Mining Using Hidden Markov-Local Polynomial Models -- Patterns Discovery Based on Time-Series Decomposition -- Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering -- Micro Similarity Queries in Time Series Database -- Association Mining -- Mining Optimal Class Association Rule Set -- Generating Frequent Patterns with the Frequent Pattern List -- User-Defined Association Mining -- Direct and Incremental Computing of Maximal Covering Rules -- Towards Efficient Data Re-mining (DRM) -- Data Allocation Algorithm for Parallel Association Rule Discovery -- Classification and Rule Induction -- Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm -- Hierarchical Classification of Documents with Error Control -- An Efficient Data Compression Approach to the Classification Task -- Combining the Strength of Pattern Frequency and Distance for Classification -- A Scalable Algorithm for Rule Post-pruning of Large Decision Trees -- Optimizing the Induction of Alternating Decision Trees -- Building Behaviour Knowledge Space to Make Classification Decision -- Clustering -- Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions -- A Rough Set-Based Clustering Method with Modification of Equivalence Relations -- Importance of Individual Variables in the k-Means Algorithm -- A Hybrid Approach to Clustering in Very Large Databases -- Advanced Topics and New Methods -- A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method -- Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron -- Knowledge Acquisition from Both Human Expert and Data -- Neighborhood Dependencies for Prediction -- Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms -- Interactive Construction of Decision Trees -- An Improved Learning Algorithm for Augmented Naive Bayes -- Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. 330 $aThis book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods. 410 0$aLecture Notes in Artificial Intelligence ;$v2035 606 $aData structures (Computer science) 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aInformation technology 606 $aBusiness?Data processing 606 $aApplication software 606 $aMathematical statistics 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aData structures (Computer science) 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 0$aApplication software. 615 0$aMathematical statistics. 615 14$aData Structures and Information Theory. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aIT in Business. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aProbability and Statistics in Computer Science. 676 $a006.3 702 $aCheung$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWilliams$b Graham J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Qing$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aPacific-Asia Conference on Knowledge Discovery and Data Mining 906 $aBOOK 912 $a9910143597403321 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNINA