ABSTRACT: Consistent top k question over gushing information is a basic issue in the database. In this paper, we center around the sliding window situation, where a ceaseless top k inquiry restores the top k protests inside each question window on the information stream. Existing calculations bolster this sort of inquiries through incrementally keeping up […]
.NET MINI PROJECTS
Energy-efficient Query Processing in Web Search Engines
ABSTRACT: Web search tools are made by thousands out of inquiry preparing hubs, i.e., servers committed to processing client questions. Such numerous servers expend a lot of vitality, generally responsible to their CPUs, however, they are important to guarantee low latencies since clients expect sub-second reaction times (e.g., 500 ms). Be that as it may, […]
Search Rank Fraud and Malware Detection in Google Play
ABSTRACT: Fraudulent behaviors in Google Play, the most prominent Android application advertise, fuel seek rank mishandle and malware expansion. To recognize malware, past work has concentrated on application executable and authorization investigation. In this paper, we present Fair Play, a novel system that finds and use follows left behind by fraudsters, to identify both malware […]
Energy-efficient Query Processing in Web Search Engines
ABSTRACT: Web search engines are made by thousands out of query processing nodes, i.e., servers committed to processing client questions. Such numerous servers expend a lot of vitality, for the most part, responsible to their CPUs, however, they are important to guarantee low latencies since clients expect sub-second reaction times (e.g., 500 ms). In any case, […]
User Vitality Ranking and Prediction in Social Networking Service: a Dynamic Network Perspective
ABSTRACT: Social networking services have been predominant at numerous online networks, for example, Twitter.com and Weibo.com, where a large number of clients continue collaborating with each other consistently. One intriguing and vital issue in the long-range informal communication administrations is to rank clients in view of their essentialness in an auspicious manner. An exact positioning […]
Influence Maximization in Trajectory Databases
ABSTRACT: In this project, we examine a novel issue of impact augmentation in direction databases that is exceptionally valuable in exact area mindful promoting. It observes k top directions to be connected with a given ad and expands the normal impact on an extensive gathering of the group of onlookers. We demonstrate that the issue […]
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge
ABSTRACT: Seeing short messages is critical to numerous applications, yet challenges flourish. To begin with, short messages don’t generally watch the linguistic structure of a composed dialect. Subsequently, conventional regular dialect preparing devices, extending from grammatical form labeling to reliance parsing, can’t be effortlessly connected. Second, short messages, as a rule, don’t contain adequate measurable […]
Query Expansion with Enriched User Profiles for Personalized Search Utilizing Folksonomy Data
ABSTRACT: Question expansion has been generally received in Web search as a method for handling the ambiguity of queries. Customized search using folksonomy information has exhibited an outrageous vocabulary bungle issue that requires considerably more powerful inquiry development strategies. Co-occurrence statistics, tag-label relations, and semantic coordinating methodologies are among those favored by previous research. However, […]
Generating Query Facets using Knowledge Bases
ABSTRACT: A question facet is the critical list of data chunks that clarifies a hidden part of a query. Existing calculations mine aspects of a question by removing regular records contained in top query items. The scope of aspects and feature things mined by this sort of strategies may be restricted, in light of the […]
Personal Web Revisitation by Context and Content Keywords with Relevance Feedback
ABSTRACT: Getting back to previously viewed web pages is a common yet uneasy task for clients because of the vast volume of by and by got to data on the web. This project use human’s normal review procedure of utilizing rambling and semantic memory prompts to encourage review, and introduces an individual web revisitation method […]