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IEEE Projects - Data Mining

DOT NET - Data Mining

TECHNOLOGY: DOTNET
DOMAIN: IEEE TRANSACTION ON Data Mininig

1	K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis
2	Efficient Algorithms for Mining Top-K High Utility Item sets
3	Mining User-Aware Rare Sequential Topic Patterns in Document Streams
4	Pattern Based Sequence Classification
5	ATD: Anomalous Topic Discovery in High Dimensional Discrete Data
6	Crowd sourced Data Management: A Survey
7	A Survey of General-Purpose Crowdsourcing Techniques
8	Mining Health Examination Records — A Graph-based Approach
9	TopicSketch: Real-time Bursty Topic Detection from Twitter
10	SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection
11	Truth Discovery in Crowdsourced Detection of Spatial Events
12	Graph Regularized Feature Selection with Data Reconstruction
13	Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks
14	TaxoFinder: A Graph-Based Approach for Taxonomy Learning
15	Clustering Data Streams Based on Shared Density between Micro-Clusters
16	NATERGM: A Model for Examining the Role of Nodal Attributes in Dynamic Social Media Networks
17	Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases
18	Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification
19	Mining Health Examination Records — A Graph-based Approach
20	Semantic-Aware Blocking for Entity Resolution
21	On Learning of Choice Models with Interactive Attributes
22	OMASS: One Memory Access Set Separation
23	Resolving Multi-party Privacy Conflicts in Social Media
24	SEDEX: Scalable Entity Preserving Data Exchange
25	DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud
26	A Survey on Trajectory Data Mining: Techniques and Applications
27	Insider Collusion Attack on Privacy-Preserving Kernel-Based Data Mining Systems
28	Probabilistic Static Load-Balancing of Parallel Mining of Frequent Sequences
29	Clustering Data Streams Based on Shared Density between Micro-Clusters
30	FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce
31	Fast and accurate mining the community structure: integrating center locating and membership optimization

DOT NET - JAVA Comupting

TECHNOLOGY: JAVA
DOMAIN: IEEE TRANSACTION ON Data Mining

67	Clustering Data Streams Based on Shared Density between Micro-Clusters
68	NATERGM: A Model for Examining the Role of Nodal Attributes in Dynamic Social Media Networks
69	Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases
70	Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification
71	Mining Health Examination Records — A Graph-based Approach
72	Semantic-Aware Blocking for Entity Resolution
73	On Learning of Choice Models with Interactive Attributes
74	OMASS: One Memory Access Set Separation
75	Resolving Multi-party Privacy Conflicts in Social Media
76	SEDEX: Scalable Entity Preserving Data Exchange
77	DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud
78	A Survey on Trajectory Data Mining: Techniques and Applications
79	Insider Collusion Attack on Privacy-Preserving Kernel-Based Data Mining Systems
80	Probabilistic Static Load-Balancing of Parallel Mining of Frequent Sequences
81	Clustering Data Streams Based on Shared Density between Micro-Clusters
82	FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce
83	Fast and accurate mining the community structure: integrating center locating and membership optimization

Successful Students

Muthiah Palaniappan
Internet Programming and Database Mgmt (COOP)
Lambton College, Canada

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