LEADER 00939nam0 22002411i 450 001 SUN0039656 005 20051201120000.0 100 $a20051201d1961 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆIl ‰duomo di Lucca$fP. Lazzarini 210 $aLucca$cScuola tipografica Artigianelli$d1961 215 $a140 p., c. di tav.$cill.$d17 cm. 620 $dLucca$3SUNL000921 700 1$aLazzarini$b, Paolo$3SUNV020039$0534842 712 $aArtigianelli$3SUNV004066$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0039656 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI$d07 CONS Bb Lucca 1226 $e07 14783 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI$bIT-CE0103$h14783$kCONS Bb Lucca 1226$oc$qa 996 $aDuomo di Lucca$91423719 997 $aUNICAMPANIA LEADER 00789nam a2200217 i 4500 001 991003025229707536 005 20021022144911.0 008 960610s1927 uk ||| | eng 035 $ab11743918-39ule_inst 035 $aLE021FD224766$9ExL 040 $aDip. SSSC$bita 100 1 $aGeyl, P.$0379400 245 14$aThe tale of Beatrice /$ctranslated from the Middle Dutch by P. Geyl 260 $aThe Hague :$bMartinus Nijhoff,$c1927 300 $aV, 47 p. ;$c17 cm. 907 $a.b11743918$b21-09-06$c24-10-02 912 $a991003025229707536 945 $aLE021FD DAN31bisB16$g1$iLE021FD-5082$lle023$nFondo D'Amico$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i11983784$z24-10-02 996 $aTale of Beatrice$9905098 997 $aUNISALENTO 998 $ale021$b10-06-96$cm$da $e-$feng$guk $h4$i1 LEADER 08718nam 22008295 450 001 9910483017803321 005 20251226203243.0 010 $a3-540-37737-9 024 7 $a10.1007/11823728 035 $a(CKB)1000000000283803 035 $a(SSID)ssj0000317116 035 $a(PQKBManifestationID)11232415 035 $a(PQKBTitleCode)TC0000317116 035 $a(PQKBWorkID)10287017 035 $a(PQKB)11291679 035 $a(DE-He213)978-3-540-37737-5 035 $a(MiAaPQ)EBC3068195 035 $a(PPN)123137586 035 $a(EXLCZ)991000000000283803 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aData Warehousing and Knowledge Discovery $e8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings /$fedited by A Min Tjoa 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XVIII, 582 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v4081 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-37736-0 320 $aIncludes bibliographical references and index. 327 $aETL Processing -- ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software -- Applying Transformations to Model Driven Data Warehouses -- Bulk Loading a Linear Hash File -- Materialized View -- Dynamic View Selection for OLAP -- Preview: Optimizing View Materialization Cost in Spatial Data Warehouses -- Preprocessing for Fast Refreshing Materialized Views in DB2 -- Multidimensional Design -- A Multiversion-Based Multidimensional Model -- Towards Multidimensional Requirement Design -- Multidimensional Design by Examples -- OLAP and Multidimensional Model -- Extending Visual OLAP for Handling Irregular Dimensional Hierarchies -- A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes -- Analysing Multi-dimensional Data Across Autonomous Data Warehouses -- What Time Is It in the Data Warehouse? -- Cubes Processing -- Computing Iceberg Quotient Cubes with Bounding -- An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube -- On the Computation of Maximal-Correlated Cuboids Cells -- Data Warehouse Applications -- Warehousing Dynamic XML Documents -- Integrating Different Grain Levels in a Medical Data Warehouse Federation -- A Versioning Management Model for Ontology-Based Data Warehouses -- Data Warehouses in Grids with High QoS -- Mining Techniques (1) -- Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods -- Efficient Mining of Dissociation Rules -- Optimized Rule Mining Through a Unified Framework for Interestingness Measures -- An Information-Theoretic Framework for Process Structure and Data Mining -- Mining Techniques (2) -- Mixed Decision Trees: An Evolutionary Approach -- ITER: An Algorithm for Predictive Regression Rule Extraction -- COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach -- Frequent Itemsets -- A Greedy Approach to Concurrent Processing of Frequent Itemset Queries -- Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation -- EStream: Online Mining of Frequent Sets with Precise Error Guarantee -- Mining Data Streams -- Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams -- Classification of Hidden Network Streams -- Adaptive Load Shedding for Mining Frequent Patterns from Data Streams -- An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams -- Ontology-Based Mining -- Learning Classifiers from Distributed, Ontology-Extended Data Sources -- A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations -- Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature -- Clustering -- Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures -- Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures -- Calculation of Density-Based Clustering Parameters Supported with Distributed Processing -- Cluster-Based Sampling Approaches to Imbalanced Data Distributions -- Advanced Mining Techniques -- Efficient Mining of Large Maximal Bicliques -- Automatic Image Annotation by Mining the Web -- Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data -- Association Rules -- Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP -- Difference Detection Between Two Contrast Sets -- EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy) -- Miscellaneous Applications -- AISS: An Index for Non-timestamped Set Subsequence Queries -- A Method for Feature Selection on Microarray Data Using Support Vector Machine -- Providing Persistence for Sensor Data Streams by Remote WAL -- Classification -- Support Vector Machine Approach for Fast Classification -- Document Representations for Classification of Short Web-Page Descriptions -- GARC: A New Associative Classification Approach -- Conceptual Modeling for Classification Mining in Data Warehouses. 330 $aFor more than a decade, data warehousing together with knowledge discovery technology have made up the key technology for the decision-making process in companies. Since 1999, due to the relevant role of these technologies in academia and industry, the Data Warehousing and Knowledge Discovery (DaWaK) conference series has become an international forum for both practitioners and researchers to share their findings, publish their relevant results and debate in depth research issues and experiences on data warehousing and knowledge discovery systems and applications. th The 8 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2006) continued the series of successful conferences dedicated to these topics. In this edition, DaWaK aimed at providing the right and logical balance between data warehousing and knowledge discovery. In data warehousing the papers cover different research problems, such as advanced techniques in OLAP visuali- tion and multidimensional modelling, innovation of ETL processes and integration problems, materialized view optimization, very large data warehouse processing, data warehouses and data mining applications integration, data warehousing for real-life applications, e. g. , medical applications and spatial applications. In data mining and knowledge discovery, papers are focused on a variety of topics from data streams analysis and mining, ontology-based mining techniques, mining frequent item sets, clustering, association and classification, patterns and so on. These proceedings contain the technical papers which were selected for presentation at the conference. We received 198 abstracts, and finally received 146 papers from 36 countries. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v4081 606 $aData structures (Computer science) 606 $aInformation theory 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aComputer networks 606 $aArtificial intelligence 606 $aData Structures and Information Theory 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 606 $aArtificial Intelligence 615 0$aData structures (Computer science). 615 0$aInformation theory. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 14$aData Structures and Information Theory. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 615 24$aArtificial Intelligence. 676 $a005.74 701 $aTjoa$b A Min$0909730 701 $aTrujillo$b Juan$01751464 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483017803321 996 $aData warehousing and knowledge discovery$94186446 997 $aUNINA