21/07/2014
Data Mining Project Titles :
1. Spatially Aware Term Selection for Geo-tagging
2. Infrequent Weighted Item set Mining Using Frequent Pattern Growth
3. A Rough Hyper-cuboids Approach for Feature Selection in Approximation Spaces
4. Privacy-Preserving Enhanced Collaborative Tagging
5. Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection
6. A Group Incremental Approach to Feature Selection Applying Rough Set Technique
7. Active Learning of Constraints for Semi-Supervised Clustering
8. Adaptive Preprocessing for Streaming Data
9. Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation
10. Detection of functional module from protein interaction networks
11. Keyword Query Routing
12. Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation
13. Online Feature Selection and Its Applications
14. Identifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance
15. The Role of Hubness in Clustering High-Dimensional Data
16. Approximate Shortest Distance Computing a Query-Dependent Local Landmark Scheme
17. Data Mining with Big Data
18. Decision Trees for Mining Data Streams Based on the Gaussian Approximation
19. Discovering Emerging Topics in Social Streams via Link-Anomaly Detection
20. Ensembles Imbalanced Classification
21. Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning
22. Heigen Spectral Analysis for Billion-Scale Graph
23. MWMOTE—Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
24. Probabilistic Sequence Translation-Alignment Model for Time-Series Classification
25. A Meta-Top-Down Method for Large-Scale Hierarchical Classification
26. Classifier Ensembles with the Extended Space Forest
27. Adaptation Regularization A General Framework for Transfer Learning
28. Best Peer++ a Peer-to-Peer Based Large-Scale Data Processing Platform
29. Fast nearest Neighbour Search with Keywords
30. Interpreting the Public Sentiment Variations on Twitter
31. Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases
32. Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs
