Notice Board :

Call for Paper
Vol. 5 Issue 5

Submission Start Date:
May 01, 2018

Acceptence Notification Start:
May 10, 2018

Submission End:
May 15, 2018

Final MenuScript Due:
May 30, 2018

Publication Date:
June 04, 2018
                         Notice Board: Call for PaperVol. 5 Issue 5      Submission Start Date: May 01, 2018      Acceptence Notification Start: May 10, 2018      Submission End: May 15, 2018      Final MenuScript Due: May 30, 2018      Publication Date: June 04, 2018




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
Shweta Pathak, Vijay Malviya
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 4
Abstract
Cloud computing is an emerging paradigm in which information technology re-sources are provided over the internet as a service to users. Load balancing is a mechanism to distribute the workload evenly to all nodes in the system to achieve a higher resource utilization and user satisfaction. It helps in allocation and de-allocation of instances of applications without failure. Scheduling in cloud computing is a technique which is used to improve the overall execution time of the job. A good scheduling algorithm can help in load balancing as well.
PaperID
2018/IJTRM/4/2018/12653

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