Data-Document Mining Project Titles

By

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.

Comments

Post a Comment

Popular posts from this blog

Image Segmentation - K-means Clustering

By
Image
Introduction to K-means clustering-algorithm The K-means clustering algorithm comprised of three steps, they distance, minimum-distance cluster assignment and cluster centroid update. These three steps are repeatedly executed until convergence meet or number of iteration end. The K-means algorithm splits the given dataset (image) into K number of clusters or groups It assigns a member(pixel) into a cluster (group) based on minimum distance between the pixel and all cluster centroids The algorithm is not complex and iterative procedure steps The high speed convergence but stayed on local minimum at most of times Unsupervised Clustering The K-means algorithm has no training phase. The dataset (image pixels) to be clustered is not attached with class or target variables. Assumed K number of C...
Keep reading

Adaptive Median Filter for Image Corrupted by Salt and Pepper Noise

By
Image
The image denoising is a preprocessing step in image processing and is used to recover the image which is corrupted by noise. It shown below the image corrupted by impulsive noise or salt and pepper noise is denoised by Adaptive Median filter. Impulsive noise is added to an image when the image is transmitted over a noisy channel and decoding error on the receiver side. It is modelled by imnoise function in Matlab programming. Median filter with small fixed window size is a preferred technique for denoising an image corrupted by salt & pepper noise because of simple and efficient. However, it is performance decreased the image corrupted by high density noise pixels. Adaptive Median filter changing it's window size depends on density of noise is a preferred technique for denoising an image corrupted by high density salt & pepper noise. Original Image and 70% salt & pepper noised image Denoised image by Adaptive median...
Keep reading

Networking Project Titles

By
It is shown below IEEE project titles of wired or wireless communication networks, Cloud Computing, Cognitive Radio network, and wireless sensor networks . Cloud Computing network A Pareto solution based hybrid genetic algorithm for energy-aware cloud service scheduling. Self Adaptive Learning PSO -based deadline constraints task scheduling for hybrid IaaS Cloud. Wireless Sensor network Task allocation for wireless sensor network using modified binary particle swarm optimization. Secure and Efficient Data Transmission for Cluster-based wireless sensor networks. Sensor deployment and scheduling for target coverage problem in wireless sensor networks. Enhancement of Lifetime using duty cycle and network coding in wireless sensor networks. Cognitive Radio network Soft combination and Detection for Cooperative Spectrum sensing in Cognitive radio network. Spectrum Sensing for Digital pr...
Keep reading