Conferences in DBLP

Data Warehousing and Knowledge Discovery (DaWaK) (dawak)
2009 (conf/dawak/2009)

1. 
   New Challenges in Information Integration. [Citation Graph (, )][DBLP]
   
   
2. 
   What Is Spatio-Temporal Data Warehousing? [Citation Graph (, )][DBLP]
   
   
3. 
   Towards a Modernization Process for Secure Data Warehouses. [Citation Graph (, )][DBLP]
   
   
4. 
   Visual Modelling of Data Warehousing Flows with UML Profiles. [Citation Graph (, )][DBLP]
   
   
5. 
   CAMS: OLAPing Multidimensional Data Streams Efficiently. [Citation Graph (, )][DBLP]
   
   
6. 
   Data Stream Prediction Using Incremental Hidden Markov Models. [Citation Graph (, )][DBLP]
   
   
7. 
   History Guided Low-Cost Change Detection in Streams. [Citation Graph (, )][DBLP]
   
   
8. 
   HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data. [Citation Graph (, )][DBLP]
   
   
9. 
   A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses. [Citation Graph (, )][DBLP]
   
   
10. 
    Fast Loads and Fast Queries. [Citation Graph (, )][DBLP]
    
    
11. 
    TidFP: Mining Frequent Patterns in Different Databases with Transaction ID. [Citation Graph (, )][DBLP]
    
    
12. 
    Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation. [Citation Graph (, )][DBLP]
    
    
13. 
    Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?. [Citation Graph (, )][DBLP]
    
    
14. 
    A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets. [Citation Graph (, )][DBLP]
    
    
15. 
    Efficient Online Aggregates in Dense-Region-Based Data Cube Representations. [Citation Graph (, )][DBLP]
    
    
16. 
    BitCube: A Bottom-Up Cubing Engineering. [Citation Graph (, )][DBLP]
    
    
17. 
    Exact and Approximate Sizes of Convex Datacubes. [Citation Graph (, )][DBLP]
    
    
18. 
    Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. [Citation Graph (, )][DBLP]
    
    
19. 
    Customer Churn Prediction for Broadband Internet Services. [Citation Graph (, )][DBLP]
    
    
20. 
    Mining High-Correlation Association Rules for Inferring Gene Regulation Networks. [Citation Graph (, )][DBLP]
    
    
21. 
    Extend UDF Technology for Integrated Analytics. [Citation Graph (, )][DBLP]
    
    
22. 
    High Performance Analytics with the R3-Cache. [Citation Graph (, )][DBLP]
    
    
23. 
    Open Source BI Platforms: A Functional and Architectural Comparison. [Citation Graph (, )][DBLP]
    
    
24. 
    Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing. [Citation Graph (, )][DBLP]
    
    
25. 
    Skyline View: Efficient Distributed Subspace Skyline Computation. [Citation Graph (, )][DBLP]
    
    
26. 
    HDB-Subdue: A Scalable Approach to Graph Mining. [Citation Graph (, )][DBLP]
    
    
27. 
    Mining Violations to Relax Relational Database Constraints. [Citation Graph (, )][DBLP]
    
    
28. 
    Arguing from Experience to Classifying Noisy Data. [Citation Graph (, )][DBLP]
    
    
29. 
    Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data. [Citation Graph (, )][DBLP]
    
    
30. 
    The PDG-Mixture Model for Clustering. [Citation Graph (, )][DBLP]
    
    
31. 
    Clustering for Video Retrieval. [Citation Graph (, )][DBLP]
    
    
32. 
    Trends Analysis of Topics Based on Temporal Segmentation. [Citation Graph (, )][DBLP]
    
    
33. 
    Finding N-Most Prevalent Colocated Event Sets. [Citation Graph (, )][DBLP]
    
    
34. 
    Rule Learning with Probabilistic Smoothing. [Citation Graph (, )][DBLP]
    
    
35. 
    Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model. [Citation Graph (, )][DBLP]
    
    
36. 
    Recommending Multidimensional Queries. [Citation Graph (, )][DBLP]
    
    
37. 
    Preference-Based Recommendations for OLAP Analysis. [Citation Graph (, )][DBLP]