000			05835nam a22006975i 4500
001			978-3-540-30076-2
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005			20240423130101.0
007			cr nn 008mamaa
008			121227s2004 gw | s |||| 0|eng d
020			_a9783540300762 _9978-3-540-30076-2
024	7		_a10.1007/b99817 _2doi
050		4	_aQA76.9.D35
050		4	_aQ350-390
072		7	_aUMB _2bicssc
072		7	_aGPF _2bicssc
072		7	_aCOM021000 _2bisacsh
072		7	_aUMB _2thema
072		7	_aGPF _2thema
082	0	4	_a005.73 _223
082	0	4	_a003.54 _223
245	1	0	_aData Warehousing and Knowledge Discovery _h[electronic resource] : _b6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings / _cedited by Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß.
250			_a1st ed. 2004.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2004.
300			_aXIV, 412 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x1611-3349 ; _v3181
505	0		_aData Warehousing Design -- Conceptual Design of XML Document Warehouses -- Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses -- GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas -- Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses -- Knowledge Discovery Framework and XML Data Minig -- Novelty Framework for Knowledge Discovery in Databases -- Revisiting Generic Bases of Association Rules -- Mining Maximal Frequently Changing Subtree Patterns from XML Documents -- Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents -- Data Cubes and Queries -- Space-Efficient Range-Sum Queries in OLAP -- Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees -- Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding -- Multidimensional Schema and Data Aggregation -- An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses -- A Partial Pre-aggregation Scheme for HOLAP Engines -- Discovering Multidimensional Structure in Relational Data -- Inductive Databases and Temporal Rules -- Inductive Databases as Ranking -- Inductive Databases of Polynomial Equations -- From Temporal Rules to Temporal Meta-rules -- Industrial Track -- How Is BI Used in Industry?: Report from a Knowledge Exchange Network -- Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments -- Data Clustering -- Exploring Possible Adverse Drug Reactions by Clustering Event Sequences -- SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes -- Novel Clustering Approach that Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives -- Data Visualizationand Exploration -- Categorical Data Visualization and Clustering Using Subjective Factors -- Multidimensional Data Visual Exploration by Interactive Information Segments -- Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment -- Data Classification, Extraction and Interpretation -- Classification Based on Attribute Dependency -- OWDEAH: Online Web Data Extraction Based on Access History -- Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation -- Data Semantics -- Deriving Multiple Topics to Label Small Document Regions -- Deriving Efficient SQL Sequences via Read-Aheads -- Diversity in Random Subspacing Ensembles -- Association Rule Mining -- Partitioned Approach to Association Rule Mining over Multiple Databases -- A Tree Partitioning Method for Memory Management in Association Rule Mining -- Mining Interesting Association Rules for Prediction in the Software Project Management Area -- Mining Event Sequences -- PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequences -- Algorithms for Discovery of Frequent Superset, Rather Than Frequent Subset -- Pattern Mining -- Improving Direct Counting for Frequent Itemset Mining -- Mining Sequential Patterns with Item Constraints -- Mining Borders of the Difference of Two Datacubes -- Mining Periodic Patterns in Sequence Data.
650		0	_aData structures (Computer science).
650		0	_aInformation theory.
650		0	_aDatabase management.
650		0	_aInformation storage and retrieval systems.
650		0	_aApplication software.
650		0	_aComputer networks .
650		0	_aArtificial intelligence.
650	1	4	_aData Structures and Information Theory.
650	2	4	_aDatabase Management.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aComputer and Information Systems Applications.
650	2	4	_aComputer Communication Networks.
650	2	4	_aArtificial Intelligence.
700	1		_aKambayashi, Yahiko. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMohania, Mukesh. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWöß, Wolfram. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783540229377
776	0	8	_iPrinted edition: _z9783662180594
830		0	_aLecture Notes in Computer Science, _x1611-3349 ; _v3181
856	4	0	_uhttps://doi.org/10.1007/b99817
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