International Journal of Technology Research and Management Beta

ISSN (Online): 2348-9006
* UGC Approved Journal * Till - May 2018
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Notice Board :

Call for Paper
Vol. 11 Issue 4

Submission Start Date:
April 01, 2024

Acceptence Notification Start:
April 10, 2024

Submission End:
April 20, 2024

Final MenuScript Due:
April 28, 2024

Publication Date:
April 30, 2024
                         Notice Board: Call for PaperVol. 11 Issue 4      Submission Start Date: April 01, 2024      Acceptence Notification Start: April 10, 2024      Submission End: April 20, 2024      Final MenuScript Due: April 28, 2024      Publication Date: April 30, 2024




Volume VI Issue III

Paper Title
An Efficient Hash Based Technique for Mining All High Utility Item Sets From a Transaction and Profit Data Set
Author Name
Ashok Patidar, Nitika Kadam
Year Of Publication
2019
Volume and Issue
Volume 6 Issue 3
Abstract
Data mining is the heart favorite topic of research across the globe. New methods and models a have been developed to solve the data mining problems. Utility mining is an important data mining task. It is an extension of Market Basket Analysis. This paper presents a review of work done in utility mining. There are several algorithm have been developed to solve the problem of high utility item set mining. But there is still a lot of scope of work in terms of efficiency. This paper also proposes a hash based technique for utility mining. The proposed technique makes use of hash data structure for storing the data base. This type of storage provides speedy access to data. Experimental study has shown that the proposed work is having less time complexity.
PaperID
2019/IJTRM/3/2019/23109

Paper Title
A Literature Survey of Diffrent Techniques for Web Log Mining
Author Name
Varsha Sharma, Jyotshna Goyal
Year Of Publication
2019
Volume and Issue
Volume 6 Issue 3
Abstract
In this paper, we are presenting an overview of existing web log mining algorithms. Nowadays web log mining is a very popular and computationally expensive task. The frequent item set mining techniques are used for mining web log data. We have also explained the fundamentals of frequent item set mining. We have described today’s approaches for frequent item set mining. From the broad variety of frequent item set mining algorithms that have been developed we will compare the most important ones.
PaperID
2019/IJTRM/3/2019/23131

Paper Title
Adoption of Internet Banking over Traditional Banking
Author Name
Disha Singh, Himanshu Sharma, Ayush Kumar Sahu, Sandeep Veerwani
Year Of Publication
2019
Volume and Issue
Volume 6 Issue 3
Abstract
Internet Banking is altering the banking industry, having the vital effect on banking relationship. Internet banking facilitates the banking services. Banking is no longer restricted to the branches were one has to approach the branch in person, to opening account, to withdraw or deposit cash, check or request a statement of accounts. In true internet banking, any enquiry or transaction is processed online without any allusion to the branch (anywhere banking) at any time. Providing internet banking is progressively becoming a “need to have” than “nice to have” service. When every second becomes a race against time, everyone looks at saving time. Online banking has made this possible. Banking is now not only penned to the branches, one can complete all his tasks of the bank from the home, in a very convenient manner.
PaperID
2019/IJTRM/3/2019/23132

Paper Title
An Implementation of Deep Learning Based Auto Answering System using Tensor Flow Framework – Chatbot
Author Name
Harshwardhan Singh, Hamendra Umath, Dr. Harish Patidar
Year Of Publication
2019
Volume and Issue
Volume 6 Issue 3
Abstract
Chatbots are becoming immensely popular with the advancements in the technology. Chatbot is a computer program which could talk to people in real time and give intelligent replies. The easy to use interface and capability to outperform humans with the speed of handling user queries makes it of extreme importance. This paper addresses the design and the implementation of the chatbot with the use of deep learning and TensorFlow models such as Neural Machine Translation. We will also study various areas where chatbots are making a huge impact and the techniques used while designing a chatbot.
PaperID
2019/IJTRM/3/2019/23133