Similarity Measure Selection for Clustering Time Series Databases Abstract? Similarity Measure Selection for Clustering Time. Series Databases Clustering has become a popular task associated with time series. The choice of a suitable distance measure is crucial to the clustering process and, given the vast number of distance measures for time series available in the literature…
Similarity Search for Dynamic Data Streams Abstract-Nearest neighbor searching systems are an integral part of many online applications, including but not limited to pattern recognition, plagiarism detection and recommender systems. With increasingly larger data sets, scalability has become an important issue. Many of the most space and running time efficient algorithms are based on locality-sensitive…
Simple T wave metrics may better predict early is schema as compared to ST segment Abstract?Abstract Recently, security issues are obstructing the development and using of cloud computing services. Authentication plays an important role in the cloud security, and numerous concerns have been raised to prevent an unauthorized users to access the entities? resources (sender…
SIP Flooding Attack Detection with a Multi-Dimensional Sketch Design Abstract?SIP Flooding Attack Detection with a Multi-Dimensional Sketch Design. The session initiation protocol (SIP) is widely used for controlling multimedia communication sessions over the Internet Protocol (IP). Effectively detecting a flooding attack to the SIP proxy server is critical to ensure robust multimedia communications over the…
Sitware Event Management Abstract? Generally web search engines are built to serve all users, independent of the individual needs of any user. Personalization of web search is to carry out retrieval accessing < Final Year Projects 2016 > for each user incorporating their interest. This has become an important factor in daily usage as it…
Smart city Abstract-Everyday a large number of people are coming to all the cities seeking job, higher studies, business, tourism, etc. Initially all the system of the city are unknown to the new comers of the city. They don?t know much about booking hotel, transportation, shopping, etc. But implementation of Smart City Java Project provides…
Smart Streaming for Online Video Services Abstract? Smart Streaming Service System presents an entirely new learning environment for students, thus requiring a different skill set to be successful. Critical thinking, research, and evaluation skills are growing in importance as students have increasing volumes Amount < Final Year Projects 2016 > of information. Smart Streaming Service…
SmartCrawler: A Two-Stage Crawler for Efficiently Harvesting Deep-Web Interfaces Abstract? As deep web grows at a very fast pace, there has been increased interest in techniques that help efficiently locate deep-web interfaces. However, due to the large volume of web resources and the dynamic nature of deep web, achieving wide coverage and high efficiency is…
SmartCrawler: A Two-stage Crawler for Efficiently Harvesting Deep-Web Interfaces Abstract? SmartCrawler: A Two-stage Crawler for Efficiently Harvesting Deep-Web Interfaces. As deep web grows at a very fast pace, there has been increased interest in techniques that help ef?ciently locate deep-web interfaces. However, due to the large volume of web resources and the dynamic nature of…
SMS Classification Based on Na?ve Bayes Classifier and Apriori Algorithm Frequent Itemset Abstract?SMS Classification Based on Na?ve Bayes Classifier and Apriori Algorithm Frequent Itemset. In this paper, we propose a novel semi-supervised methodology to detect spam or ham SMSs, using frequent item set mining algorithm Apriori, probabilistic model Naive Bayes and ensemble learning. This paper…
Social cloud compute:Allocating and sharing Infrastructure resources via social networks Abstract?With the increasingly ubiquitous nature of Social networks and Cloud computing, users are exploring new ways to interact with, and exploit these paradigms. Social networks are used to reflect real world relationships that allow users to share information and form connections between one another. Leveraging…
Social Collaborative Filtering by Trust Abstract? Recommender systems are used to accurately and actively provide users with potentially interesting information or services. Collaborative filtering is a widely adopted approach to recommendation, but sparse data and cold-start users are often barriers to providing high quality recommendations. To address such issues, we propose a novel method that…