Mamta Madan

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We are living in the age of Higher Education (HE) 2.0, where the fastest growing social networking sites (SNS) is Facebook. It's been widely accepted as a platform for communications and collaborations. The students and Higher Education Professionals (HEP) which includes faculty members, administrators, management, etc. use to share their valuable(More)
The objective of this paper is to have a literature review on the various methods to mine the knowledge from the social media by taking advantage of embedded heterogeneous information. Specifically, we are trying to review different types of mining framework which provides us useful information from these networks that have heterogeneous data types(More)
—The objective of this paper is to study on the most famous social networking site Facebook and other online social media networks (OSMNs) based on the notion of relationship or friendship. This paper discussed the methodology which can used to conduct the analysis of the social network Facebook (FB) and also define the framework of the Web Mining platform.(More)
This paper tries to portrait outline study on the detailed approaches which are related to the working of a Social Media Networks Extraction System (SMNES) or the Social media (SM) platform with the perception of Social Network Wrappers (SNWs) and their issues like creation, perpetuation and support etc. In this paper we discuss in detail the obstacle(More)
Cloud is in the air. More and More companies and personals are connecting to cloud with so many variety of offering provided by the companies. The cloud services are based on Internet i.e. TCP/IP. The paper discusses limitations of one of the main existing network management protocol i.e. Simple Network Management Protocol (SNMP) with respect to the current(More)
Metaheuristic algorithms, such as genetic algorithms and simulated annealing, are search techniques that are inspired by nature. They aim to avoid a problem encountered by traditional search techniques such as hill climbing - the danger of getting stuck at a local optimum. Many achieve this by adding a stochastic element, such as the ability to accept a(More)
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