This document lists potential project titles related to data mining and information technology for computer science and IT students for the years 2014-2015. There are over 30 potential project titles listed covering topics like ontology matching, geospatial data compression, spatial network analysis, matrix approximations, decision tree learning, privacy-preserving data mining, recommender systems, text mining, information retrieval, and more. The document provides a starting point for students to explore different data mining and machine learning research areas for their projects.

1. INFANT TECHNOLOGY, Nagercoil 8015182635
IEEE PROJECT TITLES 2014 - 2015
For CSE &IT
DATA MINING
S.NO PROJECT TITLES
A Graph Derivation Based Approach for Measuring and Comparing Structural
Semantics of Ontologies
A Hierarchical Tensor-Based Approach to Compressing, Updating and Querying
Geospatial Data
A K-Main Routes Approach to Spatial Network Activity Summarization
A parallel matrix-based method for computing approximations in incomplete
information systems
A rough set-based method for updating decision rules on attribute values’
coarsening and refining
Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational
Data
A Cocktail Approach for Travel Package Recommendation
Active Learning of Constraints for Semi-Supervised Clustering
An Automated Framework for Incorporating News into Stock Trading Strategies
An Empirical Performance Evaluation of Relational Keyword Search Systems
Answering Why-Not Questions on Top-K Queries
Automatic Generation of the Domain Module from Electronic Textbooks: Method
and Validation
BestPeer++: A Peer-to-Peer Based Large-Scale Data Processing Platform
BTM: Topic Modeling over Short Texts
Building Confidential and Efficient Query Services in the Cloud with RASP Data
Perturbation
Consensus-Based Ranking of Multivalued Objects: A Generalized Borda Count
Approach

2. INFANT TECHNOLOGY, Nagercoil 8015182635
CoRE: A Context-Aware Relation Extraction Method for Relation Completion
Data Mining with Big Data
Decision Trees for Mining Data Streams Based on the Gaussian Approximation
Discovering Conservation Rules
Discovering the Top-k Unexplained Sequences in Time-Stamped Observation Data
Discovering Emerging Topics in Social Streams via Link-Anomaly Detection
Distance-aware Join For Indoor Moving Objects
Efficient Prediction of Difficult Keyword Queries over Databases
Facilitating Document Annotation Using Content and Querying Value
Fast Nearest Neighbor Search with Keywords
Keyword Query Routing
LARS*: An Efficient and Scalable Location-Aware Recommender System
Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation
On the Use of Side Information for Mining Text Data
Privacy-Preserving and Content-Protecting Location Based Queries
Product Aspect Ranking and Its Applications
Secure Mining of Association Rules in Horizontally Distributed Databases
Security Evaluation of Pattern Classifiers under Attack
Supporting Privacy Protection in Personalized Web Search
Towards Online Shortest Path Computation
TrustedDB: A Trusted Hardware-Based Database with Privacy and Data
Confidentiality
Typicality-Based Collaborative Filtering Recommendation
Web Image Re-Ranking UsingQuery-Specific Semantic Signatures