Notice Board :

Call for Paper
Vol. 8 Issue 3

Submission Start Date:
Mar 01, 2021

Acceptence Notification Start:
Mar 10, 2021

Submission End:
April 25, 2021

Final MenuScript Due:
April 28, 2021

Publication Date:
April 30, 2021
                         Notice Board: Call for PaperVol. 8 Issue 3      Submission Start Date: Mar 01, 2021      Acceptence Notification Start: Mar 10, 2021      Submission End: April 25, 2021      Final MenuScript Due: April 28, 2021      Publication Date: April 30, 2021




Volume V Issue IV

Author Name
Harish Tiwari, Prasun Chakrabarti, Avinash Panwar, Amrit Ghosh
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 4
Abstract
Lung Cancer is a disease of uncontrolled cell growth in tissues of one or both lungs. Detection of Lung Cancer in its early stage is the key of its cure. Data Mining Classification techniques can be utilized to analyze complex healthcare datasets to predict the diseases including lung cancer. Machine learning techniques can be applied to analyze the lung cancer dataset to detect the lung cancer at its early stage. In this paper, three categories of classification Techniques such as Bayes, Function and Tree, are applied on one Lung cancer dataset to predict the occurrence of lung cancer using the most popular machine learning tool WEKA.
PaperID
2018/IJTRM/4/2018/12651

Author Name
Alok Jain
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 4
Abstract
In the present paper, authors derived the basic analogue of Mittag-Leffler function with the applications of q-beta function to obtain the results of Mittag-Leffler function in terms of generalized wright function.
PaperID
2018/IJTRM/4/2018/12770

Author Name
Rajib Kumar Roy, Dr. Y.V. Rao
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 4
Abstract
For Every business, there are two fundamental forces, one is controllable and another one is uncontrollable. The uncontrollable natural or external forces always interact with business and force business to change over the time. The business External factors and its perceived complexities having strong impact on business performance. In modern structure of business approach “continuous assessment of the external factors and its effect on business” is the key of success. The leverage of business internal factors is the major strategical plan for company.
PaperID
2018/IJTRM/4/2018/13653

Author Name
Papri Ray, Dr. Y.V. Rao, Hari Om Harsh, Aishwarya Ray
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 4
Abstract
The critical success factors for the business process optimization are considered to be as: top management commitment and right communications, alignment to organisational strategy, reengineering of the right process, behavioural issues of employees regarding motivation and resistance to change must be handled effectively for proper change management, voice of external and internal customers. Internal factors are impact on time, cost, quality and flexibility. The external factors are profits, revenue, cost reductions, customer satisfaction. Considering the above factors for further study, this paper discusses the framework for Business process reengineering implementation to increase profitability and ease of doing the business. The paper presents gate or check-points based approach for the implementation.
PaperID
2018/IJTRM/4/2018/13657