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 III Issue IX

Author Name
Apurva Joshi, Er. Jitendra Dangra, Dr. M. K. Rawat
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 9
Abstract
The data mining and their different applications have become more popular now a day. A number of large and small scale applications are developed with the help of data mining techniques i.e. predictors, regulators, weather forecasting systems and business intelligence. There are two kinds of model available for it namely supervised and unsupervised. The performance and accuracy of the supervised data mining techniques are higher as compared to unsupervised techniques therefore in sensitive applications the supervised techniques are used for prediction and classification. The supervised learning based data mining techniques for heart disease prediction are analyzed in this paper.
PaperID
2016/IJTRM/9/2016/6929

Author Name
Dr. Dipjyoti Das
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 9
Abstract
With the growing demand on endoscopic resources, achieving optimal efficiency has assumed increasing importance. The purpose of this study was to assess the efficiency of performing gastro logy and pulmonary procedures in the common endoscopy unit in a large tertiary care hospital. Data were prospectively recorded for 112 procedures /patients: 96 gastro logy procedures and 16 pulmonary procedures. The most common procedure was upper gi endoscopy (41.1).Overall, procedures for 24/64 or 37.4% of the patients coming to room 1 were delayed (>=15 minutes between procedures), because the physician was not available to start the procedure or delay in transfer the patient to post procedure room . The time elapsed between procedures was >=30 minutes for 12 of the 24 delayed procedures (50%). Time and motion study revealed that 57 procedures were performed/week, with patients spending 135.5 min or 2hr 15 min at the endoscopy centre.
PaperID
2016/IJTRM/9/2016/6930

Author Name
Pooja Rathore, Santosh Varshney
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 9
Abstract
In this paper, we present an overview of modern privacy preserving in data mining algorithms. Privacy preserving in data mining is a heart favorite topic of research for many researchers over the years. Also privacy preserving in data mining takes a lot of data base scans. Therefore it is a computationally expensive task. So still there is a need to update and enhance the existing privacy preserving data mining techniques so that we can get the more efficient methods for the same task. In this paper, we have developed a method to hide sensitive items. This method hides all association rules which contain sensitive items. The proposed method takes less number of data base scans to hide sensitive items as compared to the existing hybrid algorithm for information hiding.
PaperID
2016/IJTRM/9/2016/6931

Author Name
Swati Shah, Prof. Pratibha Nagaich
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 9
Abstract
Cognitive Radio Networks are a promising technology likely to be deployed in the very near future as a viable solution to the spectrum shortage problems faced by traditional wireless systems. Technological breakthroughs in the field of Software Defined Radios enabled the development of flexible cognitive radio transceivers capable of dynamically changing their transmission parameters in order to efficiently exploit the available wireless resources. This increased capability of cognitive radios to self adapt based on interactions with the surrounding environment makes them the perfect candidates for opportunistic spectrum access in those bands that are assigned to primary users. While these primary users are allowed to access their licensed spectrum resources anytime and anywhere, within the contractual limits imposed by spectrum management authorities, cognitive radios have to scan and identify any unused spectrum in the licensed bands. Most importantly, in order not to interfere with
PaperID
2016/IJTRM/9/2016/6937