Traffic Congestion Detection using Data Mining in VANET Abstract – Traffic Congestion Detection One of the most interesting areas of research is the analysis of road traffic. This includes vehicle path tracking, path prediction, intelligent vehicles, congestion detection and many more. Most of the research that has been done to […]
Applying Data Mining Techniques in Cyber Crimes Abstract— Cyber-crime is crime that involves a computer and a network. The computer may have been used in the commission of a crime, or it may be the target.Globally the internet is been accessed by enormous people within their restricted domains. When the […]
A Rating Approach based on Sentiment Analysis Abstract- Sentiment analysis is contextual mining of text which identifies and extracts subjective information in source material, and helping a business to understand the social sentiment of their brand, product or service while monitoring online conversations.With the advent to social media the number […]
An Effective Approach for Secure Video Watermarking Based on H.264 Coding Standard Abstract—Video has an important entity that is shared over the network which is exchange through various devices like mobile,digital television, internet streaming. In the enhancement of bandwidth utilization from 2G to 3G and 3G to 4G, a lot […]
CHAOTIC Map Based Video Watermarking Using DWT And SVD Abstract— Video Watermarking is a prominent technique used to provide the authentication to the multimedia data such as audio, video and text. It is also used to resolve the copy right protection and ownership problem. The proposed method is used to […]
A Robust Video Watermarking Approach based on a hybrid SVD/DWT Technique Abstract— A comparative analysis to determine the most effective video watermarking algorithm between SVD/DWT hybrid and Singular Value Decomposition (SVD) is reported in this paper. Blind video watermarking schemes are simulated and attempts made to recover the watermark after […]
Personalized Search with Editable Profiles Abstract—Personalized Search with Editable Profiles is an important technique for improving search performance. Existing approaches work in a black box, where users have no clue how it works and how to customize it. This lack of user control and flexibility can often be inconvenient and […]
Cluster graph based model for extracting and searching algorithm in Big-data Abstract— Search systems that is used to search for information. Cite Seer was a search engine to search academic documents. Platforms are not available to discover algorithms in scholarly big data. The limitations of these search engines make the […]
Forecasting Tourist Arrivals with Machine Learning and Internet Search Index Abstract—Forecasting Tourist Arrivals with Machine Learning and Internet Search Index.The queries entered into search engines register hundreds of millions of different searches by tourists, not only reflecting the trends of the searchers’ preferences for travel products, but also offering a […]
A Graph-based Approach for Job Recommendation at Scale Abstract—Online job boards are one of the central components of modern recruitment industry. With millions of candidates browsing through job postings everyday, the need for accurate, effective, meaningful, and transparent job recommendations is apparent more than ever. While recommendation systems are successfully […]
