Aug 1, 2010

Latest Data Mining and Computer Projects

We bring you yet another list of Latest Data Mining and Computer Projects & topics for Computer science Engineering which will help them in making their final Year Project on Data Mining. You can select your project topic from below list. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such Projects and Seminar.

Latest Data Mining and Computer Projects

Neural-Based Learning Classifier Systems
Building a Multiple-Criteria Negotiation Support System
An Exploratory Study of Database Integration Processes
COFI approach for Mining Frequent Item sets
Online Random Shuffling of Large Database Tables
A Flexible Content Adaptation System Using a Rule-Based Approach
Efficient Revalidation of XML Documents
Practical Algorithms and Lower Bounds for Similarity Search in Massive Graphs
Enhancing the Effectiveness of Clustering with Spectra Analysis
Efficient Monitoring Algorithm for Fast News Alerts
Top-k Monitoring in Wireless Sensor Networks
Frequent Closed Sequence Mining without Candidate Maintenance
Maintaining Strong Cache Consistency for the Domain Name System
Efficient Skyline and Top-k Retrieval in Subspaces
Rule Extraction from Support Vector Machines: A Sequential Covering Approach
Fast Nearest Neighbor Condensation for Large Data Sets Classification
Wildcard Search in Structured Peer-to-Peer Networks
Efficient Process of Top-k Range-Sum Queries over Multiple Streams with Minimized Global Error
Discovering Frequent Agreement Sub trees from Phylogenetic Data
Watermarking Relational Databases Using Optimization-Based Techniques
Extracting Actionable Knowledge from Decision Trees
A Requirements Driven Framework for Benchmarking Semantic Web Knowledge Base Systems
The Threshold Algorithm: From Middleware Systems to the Relational Engine
Rank Aggregation for Automatic Schema Matching
Evaluation for Mining Share Frequent item sets Containing Infrequent Subsets
Efficient Computation of Iceberg Cubes by Bounding Aggregate Functions
A Note on Linear Time Algorithms for Maximum Error Histograms
Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
A Method for Estimating the Precision of Place name Matching
Efficiently Querying Large XML Data Repositories: A Survey
Graph-Based Analysis of Human Transfer Learning Using a Game Tested
Evaluating Universal Quantification in XML
Customer Profiling & Segmentation using Data Mining Techniques
Efficient Frequent Item set Mining Using Global Profit Weighted (GPW) Support Threshold
Fast Algorithms for Frequent Item set Mining using FP-Trees
Mining Confident Rules without Support Requirement
Mining Frequent Item set without Support Threshold
unified framework for utility based measures
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
The Google Similarity Distance
Reverse Nearest Neighbors Search in Ad Hoc Subspaces
Quality-Aware Sampling and Its Applications in Incremental Data Mining
An Exact Data Mining Method for Finding Center Strings and All Their Instances
Negative Samples Analysis in Relevance Feedback
Bayesian Networks for Knowledge-Based Authentication
Continuous Nearest Neighbor Queries over Sliding Windows
The Concentration of Fractional Distances
Efficient Approximate Query Processing in Peer-to-Peer Networks
Ontology-Based Service Representation and Selection
Compressed Hierarchical Mining of Frequent Closed Patterns from Dense Data Sets
Semi-supervised Regression with Co-training-Style Algorithms
Evaluation of Clustering with Banking Credit Card segment
An efficient clustering algorithm for huge dimensional database
Novel approach for Targeted Association Querying
Hiding Sensitive Association Rules with Limited Side Effects
A Relation-Based Search Engine in Semantic Web
Classifier Ensembles with a Random Linear Oracle
An Efficient Web Page Change Detection System Based on an Optimized Hungarian Algorithm
Mining Nonambiguous Temporal Patterns for Interval-Based Events
Peer-to-Peer in Metric Space and Semantic Space
Adaptive Index Utilization in Memory-Resident Structural Joins
On Three Types of Covering-Based Rough Sets
Discovering Frequent Generalized Episodes When Events Persist for Different Durations
Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems
Mining Closed Frequent item set using CHARM algorithm
Integrating Constraints and Metric Learning in Semi-Supervised Clustering
Foundational Approach to Mining Item set Utilities from Databases
Fast Frequent Pattern Mining

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