Privacy-Preserving Data Mining in Homogeneous

Department of Communication Electronics and Compute r Engineering, Helwan University, Egypt

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A WK-Means Approach for Clustering

Kebangsaan Malaysia, Malaysia

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Balanced Workload Clusters for Distributed Object Oriented Software

Abstract: When clustering objects to be allocated on a numbe r of nodes, most researches focus only on either the

# Load balance # distributed system # software restruct uring # cluster algorithms

Nagesh Vadaparthi1, Srinivas Yerramalli2, Suresh Penumatsa3, and Sitharama Poosapati4

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An Innovative Two-Stage Fuzzy kNN-DST

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Clustering with Probabilistic Topic Models on

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An Improved Clustering Algorithm for Text

Abstract: Thanks to advances in information and communication technologies, there is a prominent increase in the amount of

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Image Segmentation Based on Watershed and Edge Detection Techniques Nassir Salman

perform image segmentation and edge detection tasks. We obtained an initial segmentation based on K-means clustering

#Watershed # difference in strength map # K-means # edge detection # image segmentation

Rafik Djemili1, Hocine Bourouba2, and Amara Korba3 1Electronics Department, University of 20 Août, Alge ria 2Electronics Department, University Mentouri of Cons tantine, Algeria 3LASA, University Badji Mokhtar of Annaba, Algeria

# Speaker identification # GMM # SVM

# Clustering # FCM # Modified FCM # k)mean clustering # a ccuracy # memory usage # computation time

Scalable Self-Organizing Structured P2P Information Retrieval Model Based

Yaser Al-Lahham and Mohammad Hassan

# Peer-to-peer systems # information retrieval # node clustering # equivalence class # mapping # incremental transitivity

Enhanced Clustering-Based Topic Identification of Transcribed Arabic Broadcast News

techniques. The enhancement includes applying new stemming technique “rule-based light stemming” to balance the negative

#Arabic speech transcription # topic clustering

Weighted Delta Factor Cluster Ensemble Algorithm for Categorical Data Clustering in Data Mining

robustness, stability and the quality of individual clustering systems, it is intensely observed that this approach in most cases

#Clustering # cluster ensembles # consensus function # data mining # refined matrix # similitude measures

Semantic Similarity based Web Document Classification Using Support Vector Machine

Abstract: With the rapid growth of information on the World Wide Web (WWW), classification of web documents has become

#Document classification # text mining # SVM # latent semantic indexing

A Decision Support System Using Demographic Issues: A Case Study in Turkey

Abstract: The demographic distribution of people by cities is an important parameter to address the people’s behaviour. To

#Agglomerative clustering # customer behaviour # data mining # decision support

Modified Binary Bat Algorithm for Feature Selection in Unsupervised Learning

Abstract: Feature selection is the process of selecting a subset of optimal features by removing redundant and irrelevant

#Feature selection # unsupervised learning # binary bat algorithm # mutation

An Effective Sample Preparation Method for Diabetes Prediction

Abstract: Diabetes is a chronic disorder caused by metabolic malfunction in carbohydrate metabolism and it has become a

#Diabetes # clustering # classification # K-means # SVM # sample preparation

Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

India

#Fast k-means # fast k-mean (weight) # fast k- means (careful seeding) # and particle swarm clustering algorithm

Reverse Engineering of Object Oriented System

Abstract: Now a day’s common problem faced by software community is to understand the legacy code. A decade ago the

#Clustering # feature selection # hierarchical # reverse engineering # rational software architect

MR Brain Image Segmentation Using an Improved Kernel Fuzzy Local Information C-Means Based

Methods

#Image segmentation # outlier rejection # FCM # PSO # spatial fuzzy clustering # wavelet transform # level set methods