Notice Board :

Call for Paper
Vol. 6 Issue 4

Submission Start Date:
April 01, 2019

Acceptence Notification Start:
April 10, 2019

Submission End:
April 15, 2019

Final MenuScript Due:
April 28, 2019

Publication Date:
April 30, 2019
                         Notice Board: Call for PaperVol. 6 Issue 4      Submission Start Date: April 01, 2019      Acceptence Notification Start: April 10, 2019      Submission End: April 15, 2019      Final MenuScript Due: April 28, 2019      Publication Date: April 30, 2019




Volume V Issue VI

Author Name
Dr. Mukund Chandra Mehta, Ms. Harmeet Kaur
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 6
Abstract
Mutual funds are defined as a vehicle that pools the savings from number of small investors having predetermined investment objective and make large corpus of these savings and invest the same in a diversified portfolio. It provides a mechanism to participate in stock market without knowing the intricacies of the market. The paper attempts to examine the investor’s preference towards SBI Mutual funds and ICICI Prudential mutual fund in Jharkhand. ICICI Prudential asset Management Company established in 1993 has become the second largest company in the country in terms of assets under management in the year 2015. The company emphasizes on bridging the gap between savings and investment by providing the range of simple and diverse investment solutions to meet the needs of the investors. SBI mutual fund established in 1987 is a joint venture between SBI and AMUNDI (France), one of the leading asset management companies in the world.
PaperID
2018/IJTRM/6/2018/15808

Author Name
Bhawna Solanki, Prof. Jitendra Dangra
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 6
Abstract
Data Mining, also called knowledge Discovery in Database, is one of the latest research area, which has emerged in response to the Tsunami data or the flood of data, world is facing nowadays. It has taken up the challenge to develop techniques that can help humans to discover useful patterns in massive data. One such important technique is utility mining. Frequent item set mining works to discover item set which are frequently appear in transaction database, which can be discover on the basis of support and confidence value of different itemset .Using frequent itemset mining concept as a base, many researchers have also proposed different new concept on utility based mining of itemset. This paper presents a comprehensive systematic literature review of present techniques used for mining high utility item sets from huge data set.
PaperID
2018/IJTRM/6/2018/15812

Author Name
Shreya Jain, Sandeep Veerwani
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 6
Abstract
Wireless sensor network is a network comprising of different number of small nodes conveyed in the remote zones to play out the undertaking of detecting, calculation and information sending. These sensor nodes continue getting depleted in the energy at whatever point the information transmission stage comes into action. To accomplish a more drawn out lifetime these nodes are managed a different steering strategy which makes the correspondence amongst nodes and Base Station considerably more temperate regarding energy utilization. In this paper, a study of chain based topology being named as Power proficient Gathering in Sensor Information System (PEGASIS) has been reviewed. PEGASIS protocol is especially symbolic in little region organize. In the wake of concentrate different variations of PEGASIS, the research gap is being conveyed under the spotlight keeping in mind the end goal to improve organize lifetime.
PaperID
2018/IJTRM/6/2018/15831

Author Name
Amir Khan, Pawan Patidar
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 6
Abstract
Load balancing is a necessary task in Cloud environment to accomplish most exploitation of resources. During this survey paper to review totally different VM load balancing algorithmic rule that exploit virtualization technology to assign knowledge center resources dynamically based on request demands. There's eternity a necessity of economical load balancing algorithmic rule for economical exploitation of resources. To propose a Fusion based mostly algorithmic rule for method programming in cloud computing environment to mix dissimilar sorts of workloads to urge better the overall utilization of server, we'll stipulations of response time and reduce value.
PaperID
2018/IJTRM/6/2018/15832