November 24, 2016
FTJ1632-Cross-Domain-Sentiment-Classification-Using-Sentiment-Sensitive-Embeddings - IEEE Java Project 2016 - 2017

FTJ1632 Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings – IEEE Java Project 2016 – 2017

FTJ1632 Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings – IEEE Java Project 2016 – 2017 ABSTRACT: Unsupervised Cross-domain Sentiment Classification is the task of adapting a sentiment […]
November 24, 2016
FTD1631 Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining- IEEE Dot NET Project 2016 - 2017

FTD1631 Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining- IEEE Dot NET Project 2016 – 2017

FTD1631 Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining-  IEEE Dot NET Project 2016 – 2017 ABSTRACT: Although a large research effort […]
November 24, 2016
FTJ1631-Connecting-Social-Media-to-E-Commerce-Cold-Start-Product-Recommendation-Using-Microblogging-Information - IEEE Java Project 2016 - 2017

FTJ1631 Connecting Social Media to E-Commerce Cold-Start Product Recommendation Using Microblogging Information – IEEE Java Project 2016 – 2017

FTJ1631 Connecting Social Media to E-Commerce Cold-Start Product Recommendation Using Microblogging Information – IEEE Java Project 2016 – 2017   ABSTRACT: The boundaries between e-commerce and social […]
November 24, 2016
FTJ1630-Building-an-intrusion-detection-system-using-a-filter-based-feature-selection-algorithm - IEEE Java Project 2016 - 2017

FTJ1630 Building an intrusion detection system using a filter-based feature selection algorithm – IEEE Java Project 2016 – 2017

FTJ1630 Building an intrusion detection system using a filter-based feature selection algorithm – IEEE Java Project 2016 – 2017 ABSTRACT: Redundant and irrelevant features in data have […]
November 24, 2016
FTJ1629-Booster-in-High-Dimensional-Data-Classification - IEEE Java Project 2016 - 2017

FTJ1629 Booster in High Dimensional Data Classification – IEEE Java Project 2016 – 2017

FTJ1629 Booster in High Dimensional Data Classification – IEEE Java Project 2016 – 2017 ABSTRACT: Classification problems in high dimensional data with small number of observations […]