Data-Document Mining Project Titles

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It is shown below projects titles on data-clustering and classification, rules-mining, document or text mining, recommendation system and anomaly detection for students



Clustering on Data-mining
GDCluster A General Decentralized Clustering Algorithm.
Collaborative Fuzzy Clustering From Multiple Weighted Views.
Incremental Semi-supervised Clustering Ensemble for High Dimensional Data Clustering.
Observer Biased Fuzzy Clustering.
Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering.
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data.
Agglomerative Mean-Shift Clustering.
Clustering with Multiviewpoint-Based Similarity Measure.
Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms.
Automated Variable Weighting in k-Means Type Clustering.
A Link -based cluster Ensemble Approach for categorical data clustering.
Model based method for projective clustering.
Efficient online spherical K-means clustering.
A Min-Max cut algorithm for graph partitioning and Data clustering.
On Spectral Clustering Analysis and an algorithm.
A new fuzzy clustering validity index with a Median factor for centroid based clustering.
Novel Biobjective clustering based on Cooperative game theory.


Document/Text mining
An Efficient Phrase-Based Document Indexing for Web Document Clustering.
An Artificial Immune System Approach to Document Clustering.
Dual Fuzzy-Possibilistic Coclustering for Categorization of Documents.
Document Clustering in Correlation Similarity Measure Space.
Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm.
Probabilistic Latent Semantic Analysis.
Recurrent Neural network based boolean factor analysis and its application to word clustering.
A flocking based algorithm for document clustering analysis.


Classification on Data-mining
Accelerated PSO swarm search Feature Selection for Data Stream Mining Big Data.
ABEE-inspired data clustering approach to design RBF neural network classifiers.
An Improved Polynomial Neural Network Classifier Using Real-Coded Genetic Algorithm.
Automated Feature Design for Numeric Sequence Classification by Genetic Programming.
Distributional Features for Text Categorization.
A supervised Inductive learning algorithm with genetic search for learning attributes based concepts.
An enhance customer relationship management classification framework with partial focus feature reduction.


Rules based mining
FRBC A Fuzzy Rule-Based Clustering Algorithm.
A One-Class Kernel Fisher Criterion for Outlier Detection.
A fuzzy coherent rule mining algorithm.
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems with Genetic Rule Selection and Lateral Tuning.
Weighted Fuzzy Rule Interpolation Based on GA-Based Weight-Learning Techniques.
An Integrated Mechanism for Feature Selection and Fuzzy Rule Extraction for Classification.
A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction with Rule Selection.
A Fuzzy Clustering-Based Rapid Prototyping for Fuzzy Rule-Based Modelling.
An Evolutionary Algorithm to discover association rules.


Outlier/Anomaly Detection on Data-mining
Reverse Nearest Neighbours in Unsupervised Distance-Based Outlier Detection.
A One-Class Kernel Fisher Criterion for Outlier Detection.
Anomaly Detection via Online Oversampling Principal Component Analysis.
Evolving Fuzzy Rules for Anomaly Detection in Data Streams.
Intrusion Detection using Sequences of System Calls.
Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99 Intrusion Detection Datasets.
Anomaly Detection Using Proximity Graph and PageRank Algorithm.
Distance-base d detection prediction of outliers.
LOF Identifying density based local outliers.


Recommendation System on Data-mining
Relational Collaborative Topic Regression for Recommender Systems.
Personalized Recommendation Based on Evolutionary Multi-Objective Optimization.
SVDbased Collaborative Filtering with Privacy.
The collaborative filtering recommendation based on SOM cluster-indexing CBR.
A Semantic Approach for News Recommendation.
A hybrid approach for personalized recommendation of news on the Web.
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques.


Document Summarization
Using data merging techniques for generating multi-document summarizations.
Multi Document Summarization via Sentence Level Semantic Analysis and Symmetric Matrix Factorization.
TSCAN A Content Anatomy Approach to Temporal Topic Summarization.
A Statistical approach for Automatic Text Summarization by Extraction.
Ranking Through Clustering An Integrated Approach to Multi-Document Summarization.
Event-Centric Summary Generation.
Ranking Through Clustering An Integrated Approach to Multi-Document Summarization.
Update Summarization via Graph-Based Sentence Ranking.

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