Data Warehousing and Knowledge Discovery 12th International Conference, DAWAK 2010, Bilbao, Spain, August/September 2010. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bach Pedersen, Torben (Επιμελητής έκδοσης), Mohania, Mukesh K. (Επιμελητής έκδοσης), Tjoa, A Min (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Lecture Notes in Computer Science, 6263
• Θέματα: Computer science.; Computer communication systems.; Computer programming.; Data structures (Computer science).; Database management.; Data mining.; Computer Science.; Database Management.; Computer Communication Networks.; Programming Techniques.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Data Structures.

Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be inclu...

Πίνακας περιεχομένων:

• Data Warehouse Modeling and Spatial Data Warehouses
• Logic Programming for Data Warehouse Conceptual Schema Validation
• A Model-Driven Heuristic Approach for Detecting Multidimensional Facts in Relational Data Sources
• Physical Design and Implementation of Spatial Data Warehouses Supporting Continuous Fields
• Benchmarking Spatial Data Warehouses
• Mining Social Networks and Graphs
• Discovering Community-Oriented Roles of Nodes in a Social Network
• A Graph-Based Clustering Scheme for Identifying Related Tags in Folksonomies
• Frequent Sub-graph Mining on Edge Weighted Graphs
• Physical Data Warehouse Design
• & : A Methodology for Effectively and Efficiently Designing Parallel Relational Data Warehouses on Heterogenous Database Clusters
• Yet Another Algorithms for Selecting Bitmap Join Indexes
• Speeding Up Queries in Column Stores
• Dependency Mining
• Mining Non-redundant Information-Theoretic Dependencies between Itemsets
• Discovery and Application of Functional Dependencies in Conjunctive Query Mining
• Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
• Business Intelligence and Analytics
• The NOX Framework: Native Language Queries for Business Intelligence Applications
• Experience in Extending Query Engine for Continuous Analytics
• Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies
• Outlier and Image Mining
• A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data
• Specialty Mining
• Region of Interest Based Image Categorization
• Pattern Mining
• Meta-learning for Post-processing of Association Rules
• A Relational Approach for Discovering Frequent Patterns with Disjunctions
• An Occurrence Based Approach to Mine Emerging Sequences
• Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
• Data Cleaning and Variable Selection
• XML Data Fusion
• An Efficient Duplicate Record Detection Using q-Grams Array Inverted Index
• Modelling Complex Data by Learning Which Variable to Construct.