Kalpit R. ChandpaLecturer

Name: Prof. Kalpit R. Chandpa

Designation: Lecturer

Department: Diploma Computer Engineering

Contact Information: 8460058689/7046891877

Address: “Khodiyar Krupa”, Mangaldham-1, B/H-Altra School,

                      Timbawadi, Madhuram road, Junagadh-362015.

Qualification: M.E.I.T

Experience:

  • Teaching: 1 year
OrganizationDesignationDuration
S.S. Engineering College, BhavnagarVisiting Faculty1 Year
Shashwat B.C.A College, BhavnagarLecturer1 Year
  • Industry: none
  • Research: none

Subjects Taught:

  • UG-Level: Software Engineering, Data Warehousing and Data Mining, Digital Logic Design, Object oriented Modeling and Design, Database Management System.
  • PG-Level: none

Fields of Interest: Data Mining, Data Warehousing, Software Engineering, Digital Electronics.

Skills: Good Explanation Skill, Good Communication and Presentation Skill.

Hobbies: Singing, Writing, Acting.

Other:

  • Publication:
  • Conferences
  • International Conferences:
Sr_NoName of JournalDate/YearVenueTitle
1.2015 IEEE International Conference on Engineering and Technology (ICETECH’15)20th March-2015Coimbatore, TN, IndiaA Review Paper on Outlier Detection using Two- Phase SVM Classifiers with Cross Training approach for Multi- Disease Diagnosis

 

International Journals:

Sr_NoName of JournalVolumeMonth/YearTitle
1.International Journal of Advanced Research in Engineering ApplicationsVolume 1, Issue 2

Pages:9-17

Oct.

/2014

Data Mining in the World of BIG Data-A Survey
2.International Journal of Research and Scientific Innovation(ISSN 2321 – 2705)Volume I, Issue VI

Pages:37-41

Nov.

/2014

Comparative Study of Linear and Non-linear Contrast Enhancement Techniques
3.International Journal of Data Mining Techniques and Applications(ISSN: 2278-2419)Volume: 04, Pages: 402-408Dec.

/2014

 

A Survey Paper on Outlier Detection using Two- Phase SVM Classifiers with Cross Training approach for Multi- Disease Diagnosis
4.International Journal of Applied Research on Information Technology and computing(ISSN:0975-8070)Volume:6, No. 1April/

2015

A novel approach for outlier detection using two-phase svm classifiers with cross training method for multi-disease diagnosis
5.International Journal of Data Mining and Emerging Technologies(ISSN:2249-3212)Volume.5,

No.1

May

/2015

Comparative Study between Two-Class SVM and One-Class SVM Classifiers for Outlier Detection for Disease Diagnosis
6.International Journal of Data Mining and Emerging Technologies(ISSN:2249-3212)Volume.5,

No.1

May

/2015

Comprehensive Study of Privacy Preserving Techniques for Distributed Database