Indexing Evolving Events from Tweet Streams Abstract—:Tweet streams provide a variety of real-time information on dynamic social events. Although event detection has been actively studied, most of the existing approaches do not address the issue of efficient event monitoring in the presence of a large number of events detected from […]
Integrated Access to Big Data Polystores through a Knowledge-driven Framework Abstract—The recent successes of commercial cognitive and AI applications have cast a spotlight on knowledge graphs and the benefits of consuming structured semantic data. Today, knowledge graphs are ubiquitous to the extent that organizations often view them as a “single […]
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 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 […]
Key Technologies and Applications of Educational Data Mining on Online Learning Platform Development of the Internet and communication technology, online education has drawn more and more attention, online learning platforms and store massive learner behavioral data and educational data. How to effectively analyze and utilize the data to improve the […]
Fuzzy C-means Algorithm implementation on big data Email: Fuzzy C-means Algorithm implementation on big dataPlease contact me on below given contact number and email.Disclaimer: This message is intended only for members of Projects Pune platform. If you are not the intended recipient you are notified that disclosing, copying, distributing or […]
