Atjaunināt sīkdatņu piekrišanu

E-grāmata: Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings

Edited by , Edited by , Edited by
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 3181
  • Izdošanas datums: 08-Nov-2004
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540300762
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 53,52 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 3181
  • Izdošanas datums: 08-Nov-2004
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540300762
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

Within thelastfewyears,datawarehousingandknowledgediscoverytechnology has established itself as a key technology for enterprises that wish to improve the quality of the results obtained from data analysis, decision support, and the automatic extraction of knowledge from data. The 6th InternationalConference on Data Warehousing and KnowledgeD- covery (DaWaK 2004) continued a series of successful conferences dedicated to this topic. Its main objective was to bring together researchers and practiti- ers to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focused on the logical and physical design of data wareho- ing and knowledge discovery systems. The scope of the papers covers the most recent and relevant topics in the areas of data cubes and queries, multidim- sionaldatamodels,XMLdatamining,datasemanticsandclustering,association rules, data mining techniques, data analysis and discovery, query optimization, datacleansing,datawarehousedesignandmaintenance,andapplications.These proceedings contain the technical papers selected for presentation at the conf- ence. We received more than 100 papers, including 12 industrial papers, from over 33 countries, and the program committee ?nally selected 40 papers. The conf- ence program included an invited talk by Kazuo Iwano, IBM Tokyo Research Lab, Japan. We would like to thank the DEXA 2004 Workshop General Chairs (Prof.

Papildus informācija

Springer Book Archives
Data Warehousing Design
Conceptual Design of XML Document Warehouses
1(14)
Vicky Nassis
R. Rajugan
Tharam S. Dillon
Wenny Rahayu
Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses
15(11)
Ladjel Bellatreche
Michel Schneider
Herve Lorinquer
Mukesh Mohania
GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas
26(12)
Robson N. Fidalgo
Valeria C. Times
Joel Silva
Fernando F. Souza
Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses
38(10)
Pedro Furtado
Knowledge Discovery Framework and XML Data Minig
Novelty Framework for Knowledge Discovery in Databases
48(10)
Ahmed Sultan Al-Hegami
Vasudha Bhatnagar
Naveen Kumar
Revisiting Generic Bases of Association Rules
58(10)
S. Ben Yahia
E. Mephu Nguifo
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
68(9)
Ling Chen
Sourav S. Bhowmick
Liang-Tien Chia
Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents
77(10)
Qiankun Zhao
Sourav S. Bhowmick
Sanjay Madria
Data Cubes and Queries
Space-Efficient Range-Sum Queries in OLAP
87(10)
Fredrik Bengtsson
Jingsen Chen
Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees
97(11)
Alfredo Cuzzocrea
Wei Wang
Ugo Matrangolo
Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding
108(10)
LienHua Pauline Chou
Xiuzhen Zhang
Multidimensional Schema and Data Aggregation
An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses
118(11)
Karin Beckera
Duncan Dubugras Ruiz
A Partial Pre-aggregation Scheme for HOLAP Engines
129(9)
Wo-Shun Luk
Chao Li
Discovering Multidimensional Structure in Relational Data
138(11)
Mikael R. Jensen
Thomas Holmgren
Torben Bach Pedersen
Inductive Databases and Temporal Rules
Inductive Databases as Ranking
149(10)
Taneli Mielikainen
Inductive Databases of Polynomial Equations
159(10)
Saso Dzeroski
Ljupco Todorovski
Peter Ljubic
From Temporal Rules to Temporal Meta-rules
169(10)
Paul Cotofrei
Kilian Stoffel
Industrial Track
How Is BI Used in Industry?: Report from a Knowledge Exchange Network
179(10)
Torben Bach Pedersen
Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments
189(10)
Mohamed Medhat Gaber
Arkady Zaslavsky
Shonali Krishnaswamy
Data Clustering
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences
199(10)
Hongxing He
Graham Williams
Jie Chen
Simon Hawkins
Chris Kelman
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
209(10)
Kok-Leong Ong
Wenyuan Li
Wee-Keong Ng
Ee-Peng Lim
Novel Clustering Approach that Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives
219(10)
Jun Du
Erkan Korkmaz
Reda Alhajj
Ken Barker
Data Visualization and Exploration
Categorical Data Visualization and Clustering Using Subjective Factors
229(10)
Chia-Hui Chang
Zhi-Kai Ding
Multidimensional Data Visual Exploration by Interactive Information Segments
239(10)
Francisco J. Ferrer-Troyano
Jesus S. Aguilar-Ruiz
Jose C. Riquelme
Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment
249(10)
Aurisan Souza de Santana
Ana Maria de Carvalho Moura
Data Classification, Extraction and Interpretation
Classification Based on Attribute Dependency
259(10)
Yue-Shi Lee
Show-Jane Yen
OWDEAH: Online Web Data Extraction Based on Access History
269(10)
Zhao Li
Wee-Keong Ng
Kok-Leong Ong
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation
279(10)
Jesus S. Aguilar-Ruiz
Francisco Azuaje
Jose C. Riquelme
Data Semantics
Deriving Multiple Topics to Label Small Document Regions
289(10)
Henner Graubitz
Myra Spiliopoulou
Deriving Efficient SQL Sequences via Read-Aheads
299(10)
A. Soydan Bilgin
Rada Y. Chirkova
Timo J. Salo
Munindar P. Singh
Diversity in Random Subspacing Ensembles
309(11)
Alexey Tsymbal
Mykola Pechenizkiy
Padraig Cunningham
Association Rule Mining
Partitioned Approach to Association Rule Mining over Multiple Databases
320(11)
Himavalli Kona
Sharma Chakravarthy
A Tree Partitioning Method for Memory Management in Association Rule Mining
331(10)
Shakil Ahmed
Frans Coenen
Paul Leng
Mining Interesting Association Rules for Prediction in the Software Project Management Area
341(10)
Maria N. Moreno Garcia
Francisco J. Garcia Penalvo
M. Jose Polo Martin
Mining Event Sequences
PROWL: An Efficient Frequent Continuity Mining Algorithm on Event Sequences
351(10)
Kuo- Yu Huang
Chia-Hui Chang
Kuo-Zui Lin
Algorithms for Discovery of Frequent Superset, Rather than Frequent Subset
361(10)
Zhung-Xun Liao
Man-Kwan Shan
Improving Direct Counting for Frequent Itemset Mining
371(10)
Adriana Prado
Cristiane Targa
Alexandre Plastino
Pattern Mining
Mining Sequential Patterns with Item Constraints
381(10)
Show-Jane Yen
Yue-Shi Lee
Mining Borders of the Difference of Two Datacubes
391(10)
Alain Casali
Mining Periodic Patterns in Sequence Data
401(10)
Kuo-Yu Huang
Chia-Hui Chang
Author Index 411