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
LOSSLESS TEXT COMPRESSION FOR UNICODE TAMIL DOCUMENTS
Data compressions for different world languages including Indian languages are in high need and demand. Tamil language is one of the longest-surviving classical languages in the world. Usage of Tamil language for communi...
IMPACT OF WEIGHT INITIALIZATION ON TRAINING OF SIGMOIDAL FFANN
During training one of the most important factor is weight initialization that affects the training speed of the neural network. In this paper we have used random and Nguyen-Widrow weight initialization along with the pr...
MISSING VALUE IMPUTATION AND NORMALIZATION TECHNIQUES IN MYOCARDIAL INFARCTION
Missing Data imputation is an important research topic in data mining. In general, real data contains missing values. The presence of the missing value in the data set has a major problem for precise prediction. The obje...
PERFORMANCE COMPARISON AMONG LOCAL AND FOREIGN UNIVERSITIES WEBSITES USING SEO TOOLS
Websites are the main contributors of today’s businesses and assisting the users to surge business throughout the world by the search engine optimization (SEO) techniques are endlessly losing. In order to get greater bus...
ONTOLOGY EXTRACTION FOR AGRICULTURE DOMAIN IN MARATHI LANGUAGE USING NLP TECHNIQUES
Ontology is defined as shared specification of conceptual vocabulary used for formulating knowledge-level theories about a domain of discourse. Dataset is created by manually collecting information about different diseas...