FEATURE BASED COMMUNITY DETECTION BY EXTRACTING FACEBOOK PROFILE DETAILS
Journal Title: ICTACT Journal on Soft Computing - Year 2018, Vol 8, Issue 4
Abstract
FEATURE BASED COMMUNITY DETECTION BY EXTRACTING FACEBOOK PROFILE DETAILS
Authors and Affiliations
Rajeswari Sridhar
INDEXING AND QUERY PROCESSING TECHNIQUES IN SPATIO-TEMPORAL DATA
Indexing and query processing is an emerging research field in spatio - temporal data. Most of the real-time applications such as location based services, fleet management, traffic prediction and radio frequency identifi...
ENSEMBLE CLASSIFICATION BASED MICROARRAY GENE RETRIEVAL SYSTEM
Data mining plays an important role in the process of classifying between the normal and the cancerous samples by utilizing microarray gene data. As this classification process is related to the human lives, greater sens...
ENHANCED NEIGHBORHOOD NORMALIZED POINTWISE MUTUAL INFORMATION ALGORITHM FOR CONSTRAINT AWARE DATA CLUSTERING
Clustering of similar data items is an important technique in mining useful patterns. To enhance the performance of Clustering, training or learning is an important task. A constraint learning semi-supervised methodology...
A METHOD FOR FORECASTING WEATHER CONDITION BY USING ARTIFICIAL NEURAL NETWORK ALGORITHM
This article presents a method to forecast and make decision on weather condition. In most of the cities around the world, people try to decide on leisure activities on their spare time but weather condition would not be...
ENHANCED ALGORITHMS FOR MINING OPTIMIZED POSITIVE AND NEGATIVE ASSOCIATION RULE FROM CANCER DATASET
The most important research aspect nowadays is the data. Association rule mining is vital mining used in data which mines many eventual informations and associations from enormous databases. Recently researchers focus ma...