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CurriculumVitae
Name Dr. B.KALPANA
Designation Professor in Computer Science
Official Address Department of Computer Science
Avinashilingam DeemedUniversity for Women
Bharathi Park Road, Coimbatore-641043
Date of Birth 12.05.1968
Date of Appointment 5.09.91
Residential Address No: 55, Tenth Cross,
New Thillai Nagar, P.N.Pudur post
Coimbatore-641041
Email kalpanabsekar@yahoo.com
kalpanacsekar@gmail.com
kalpana_cs@avinuty.ac.in
Phone
+91 94864 47430 (Mobile)
EDUCATION
Degree University year Class
B.Sc Computer Science Bharathidasan 1988 I
M.Sc Computer Science Bharathidasan 1991 I
M.Phil Computer Science Avinashilingam 1997 I
Ph.D Computer Science Avinashilingam Oct 2008
Title of the Ph.D Thesis : Efficient Strategies for Mining Frequent Item sets and the
Incremental Mining of Closed Frequent Item sets Based
on a Lattice Framework.
Teaching Experience : June 1990 to September 1991 – Cauvery College, Trichy.
September 1991 till date- Avinashilingam Deemed
University for Women, Coimbatore.
Areas of Interest : Data Mining, Mobile computing and Wireless
Technologies, Parallel and Distributed computing.
Subjects Handled : Data structures, C, C++, Java, Compiler Design, Mobile
2
Computing, Parallel Computing, Software Engineering,
Data Mining and warehousing.
Awards
 Best Paper Award for the paper titled “Lattice Based Strategies for Mining Frequent Item
sets” at the International Conference on Systemics Cybernetics and Informatics (ICSCI-
2007), held at MCR Research Institute, Hyderabad, Jan 2007.
 Certificate of Merit Award for the paper titled “Efficient Search Space Pruning Strategies
for Mining Frequent Item sets”, International Conference on Data Mining and
Applications (ICDMA2007), March 2007, International Association of Engineers and
Computer Scientists, Hong Kong.
Projects
 Principal Investigator for the Project titled “Collaborative Context Sensitive Information
Processing Model for Target Tracking”, sanctioned under Naval Research Board, DRDO,
New Delhi.
 Supervised several projects for the postgraduate and M.Phil students. Currently guiding 4
Ph.D research candidates. Three Students have completed M.Phil.
Participation in University Activities:
 National Service Scheme and Community Social Service
 Boards of Studies
 Question Paper Setting and Valuation
 University Committee works
 Organizing Seminars and Conferences
Conferences Organized
 National Conference on Advanced Computing Technologies- 19th Feb. 2010.
 CYBROZ- 12- Inter collegiate Fest – 25th Jan 2012.
Contributions to other Institutions
Have been invited as session chair at
3
1. National conference on Innovations in Computing Methodologies- NCICM 2011, 16th
Dec.2011, Dept. of Information Technology, Bharathiar University.
2. National conference on Advanced Computing and IT Applications (NCACITA '11) on
Feb 18, 2011.KGISL Delivered the key note address on Data Mining and Business
Intelligence.
3. Advances in Video, Cyber learning and Electronics-ADVICE 2012, NITTTR,
Chandigarh, March 1-2, 2012.
4. Visiting Professor for M.Sc IT and Mgmt at the Institute of Finance Management, Dar –
es –Salaam, Tanzania . Handled courses Data mining and warehousing , Total Quality
Management
5. Resource Person , Faculty Development Programme on Data mining and
Warehousing at Sree Saraswathi Thiagarajar College, Pollachi, 20th Oct.2012
Membership in Professional Bodies:
o Member of the Computer Society of India
o International Association of Engineers and Computer Scientists (IAENG)
o International Association for Research in Computing Sciences (IARCS)
o Review committee member for IAENG Conferences and Indian Journal of Science
and Technology.
Overseas Visits
Visited Hong Kong to present a paper titled “Efficient Search Space Pruning Strategies for Mining
Frequent Itemsets”, at the International Conference on Data Mining and Applications
(ICDMA2007), March 2007.
Visited Institute of Finance Management, Dar-es-salaam, Tanzania fr om 9/4/12 to 27/4/12 and
31/3/13 to 19/4/13 as visiting faculty for M.Sc IT and Management.
Presented a paper titled “ A Collaborative Target tracking framework using particle filter” at
WMNC 2013, Canadian University of Dubai, UAE in April 2013.
References
Dr. R. Nadarajan, Dr. P. Narayanasamy,
Professor and Head, Professor and Head,
Department of Mathematics and Computer Science School of Comp. Sc and Engg,
PSG College of Technology, Coimbatore-641004 Anna University, Chennai.
4
Papers Presented at International Conferences/ Proceedings
1. B.Kalpana, R.Nadarajan, Arun Raghavendar. “Lattice Based Hybrid Strategies for
Frequent Itemset Mining”, International Conference on Systemics, Cybernetics &
Informatics (ICSCI 2007), Jan 2007. Won the Best Paper Award.
2. B.Kalpana, R.Nadarajan, Rukaiya Moyyad. “Efficient Search Space Pruning Strategies for
Mining Frequent Itemsets”, International Conference on Data Mining and Applications
(ICDMA2007), March 2007, IAENG Hong Kong, 2007.Won the Certificate of Merit
Award.
3. B.Kalpana, R.Nadarajan, J.Senthil Babu. “Galois Lattice Framework to Handle Updates in
the Mining of Closed Itemsets in Dynamic Databases” ACM Compute 2008, Jan 18th-20th,
2008, Bangalore, India, ACM Digital library.Article16.ISBN: 978-1-59593-950-0.
4. B.Kalpana, R.Nadarajan, J.Senthil Babu. “An Indexed Trie Approach to Incremental
Mining of Closed Frequent Itemsets based on a Galois Lattice Framework”, 13th
International Conference on Database Systems for Advanced Applications.ISBN978-3-540-
7857-5 (DASFAA 2008), 19th-21st March 2008, New Delhi.
5. B.Kalpana, “Web Based Education - Current Scenario and Future Prospects”,
NETFORUM-2001, Mahatma Gandhi Kashi Vidyapeeth, Varanasi.
6. B.Kalpana. “Exploiting Parallelism in a Relational Database System- an analysis of
Speedup, Efficiency and Scalability”. Digital Campus, Feb 23rd - 24th, 2001, Computer
Society of India Cecri chapter.
7. B.Kalpana. “IT: The Industry where Women are under represented – Strategies to
encourage Women participation”, Annual Conference of Women in IT, WIT 2002,
Annamalai University, Aug 29th -30th 2002.
8. B.Kalpana. “Towards Gender Equity in Digital Era.” International Conference on Women
in the Digital Era: Opportunities and Challenges-WIT 2003, 10th -12th Dec 2003.
5
9. P.Anitha, B.Kalpana. “Web Mining-Applications and Open issues”, First International
Conference on Data Engineering and Management, ICDEM 2008, Bishop Heber College,
Trichy, Feb 2008.ISBN: 978-81-906267-0-5.
10. P.Anitha, B.Kalpana. “Web Mining: Information and Pattern Discovery on the World
Wide Web.” National Conference on Data Mining and Warehousing- NCDMW’08,
Vidyasagar College of arts and Science, Udumalpet, March 2008.
11. B.Kalpana. “ Efficient Context Transformations for Representing large Datasets”,
International Conference on Advanced Computing, Bharathidasan University Technology
Parks and Cauvery College, Trichy, August 6-8, 2009.ISBN10:0230-3915-1.
12. Dr.B.Kalpana,R. Sangeetha. “A Study on Associative Classification Mining”, National
Conference on Advanced Computing Technologies, NCACT 2010, 19th Feb-2010,ISBN 978-
93-80381-02-2.
13. . B. Dhivya, B. Kalpana. “Semantic Web Usage Mining by a Concept Based Approach for
Off-line Web Site Enhancements”, NCACT 2010, 19th Feb-2010 ISBN 978-93-80381-02-2.
14. K. Devi Priyaa, B.Kalpana, “A Web Usage Mining Framework for Mining Evolving User
Profiles in Dynamic Web Sites”, NCACT 2010, 19th Feb-2010, ISBN 978-93-80381-02-2.
15. R. Sangeetha., Dr.B.Kalpana. “A Comparative Study and Choice of an Appropriate
Kernel for Support Vector Machines”, ICT 2010, Sept 7-9, 2010, Springer-Verlag Berlin,
Heidelberg. ISSN 1865-0929, ISBN 3-642-15765-3.
16. R. Sangeetha., Dr.B.Kalpana. “Optimizing the Kernel Selection for Support Vector
Machines using Performance Measures”. A2CWIC 2010, Sept 16-17, 2010, ISSN 978-1-
4503-0914-7, ACM Digital Library.
17. R. Sangeetha., Dr.B.Kalpana. “Supervised Classification Techniques - A Review”, National
Conference on Information and Communication Technology, NCICT-2010, 23rd April, 2010.
6
18. Dr.B.Kalpana, R.Sangeetha.”Nonlinear Principal Component Analysis Technique for
Dimensionality Reduction in Large Scale Support Vector Machine Data”, International
Conference on Mathematics and Computer Science, ICMCS 2011, January 2011.
19. Dr. B.Kalpana, R. Sangeetha.”A Novel Framework for Target Tracking and Data Fusion
in Wireless Sensor Networks using Kernel Based Learning Algorithm”, Second
International Conference on Recent Trends in Information, Telecommunication and
Computing – ITC 2011,March 2011, ISSN: 978-3-642-19541-9 (Print) 978-3-642-19542-6
(Online).
20. R. Sangeetha., Dr.B.Kalpana.”Denoising the Signals using Kalman Filter for Target
Tracking in Wireless Sensor networks”, Third International Conference on Electronics
Computer Technology - ICECT 2011, April 8-10,2011.ISBN 978-1-4244-879-9.
21. S.Chitra, Dr. B.Kalpana .”Hierarchical Directed Acyclic Graph (HDAG) Based
Preprocessing Technique for Session Construction”, Proceedings of the Second
International Conference on Advances in Computing and Information Technology (ACITY)
July 13-15, 2012, ISBN 978-3-642-31552-7.
22. S.Chitra, Dr. B.Kalpana .”Web Log Preprocessing Based on Partial Ancestral Graph
Technique for Session Construction”, CoNeCo, WiMo, NLP, CRYPSIS, ICAIT, ICDIP,
ITCSE, CS & IT 07, pp. 473–482, 2012, ISBN: 978-1-921987-05-2.
23. R. Sangeetha, B.Kalpana, “Evaluating the performance of an admissible kernel function in
banach space for binary data.”,International journal of Advanced Computer Research,Vol-3,
No:3,Issue -12, sept 2013, ISSN:2249-7277.pp. 110-113.
Papers Published In Journals/ Edited Books
1. B.Kalpana, R.Nadarajan, “Hybrid Search Strategies for Mining Maximal Frequent and
Frequent Item sets based on a Lattice Framework”, Journal of the Computer Society of
India. Vol.37, No.2, ISSN 0254-7813April-June 2007, pp.2-7.
2. B.Kalpana, R.Nadarajan. “Optimizing Search Space Pruning in Frequent Itemset Mining
with Hybrid Traversal Strategies- A Comparitive Performance on Different Data
organizations”, IAENG International Journal of Computer Science,
7
34:1,IJCS_34_1_13,ISSN: 1819-9224(onlineversion); 1819 56X(printversion), September
2007, pp.97-104. Indexed by Directory of open Access Journals, DBLP, Scopus. Cited by
2.
3. B.Kalpana, R.Nadarajan. “Incorporating Heuristics for Efficient Search Space Pruning
in FIM Strategies”, Current Science, Journal of the Indian Academy of Sciences,
Bangalore. Vol. 94, ISSN: 0011-3891 .January 2008.pp.97-101.Indexed by scopus.
Impact Factor . Cited by 1.
4. B.Kalpana, R.Nadarajan , Senthil Babu. “Galois Lattice Framework to Handle Updates in
the Mining of Closed Itemsets in Dynamic Databases”, ACM Digital Library,
DOI.10.1145/1341771.1341788, ISBN: 978-1-59593-950-0, Jan. 2008.
5.B.Kalpana, R.Nadarajan. “Novel and Efficient Search Strategies for Constraining the Search
Space in Frequent Itemset Mining”. Trends in Intelligent Systems and Computer
Engineering, Oscar Castillo, Li Xu and Sio-Long Ao Eds. ISBN: 978-0-387-74934-1
Springer, April 2008, pp.284-296. Cited by 2
6. B.Kalpana, R.Nadarajan, J.Senthil Babu. “An Indexed Trie Approach to Incremental Mining
of Closed Frequent Itemsets Based on a Galois Lattice Framework”. Database Systems for
Advanced Applications, J.R.Haritsa, R.Kotagiri, VikramPudiEds. LNCS 4947, Springer –
Verlag, Berlin, Heidelberg,2008 pp.486-495.
7. B.Kalpana.“Using Context transformations as a pre processing Step in Mining large
Datasets“.International Journal of Data Mining and Warehousing. CIIT International
Journals. ISSN 0974-9683. Online ISSN 0974-9578, April 2009.pp.8-10.
8. K.Devipriyaa, B.Kalpana.” User’s Navigation Pattern Discovery using Ant Based Clustering
and LCS Classification, Journal of Global Research in Computer Science.pp. 1-5,vol.no.1,Aug
2010.
9. A.B. Dhivya, B.Kalpana.” A study on the Performance of CT-Apriori and CT-PRO
Algorithms using Compressed Structures for Pattern Mining.
10. R.Sangeetha, B.Kalpana (2011).“Identifying Kernel functions in Multiclass Support Vector
Machines“, International Journal of Computer Applications,Vol. 28- No.8, Aug 2011. ISSN
0975-8887.
8
11. R.Sangeetha, B.Kalpana.(2011).“Performance Evaluation of Kernels in Multiclass Support
vector machines“. International Journal of Soft Computing and Engineering, Vol I ,issue 5,
Nov 2011. ISSN 2231-2307.pp.138-145.
12. S.Chitra, B.Kalpana,(2011).“Knowledge discovery from Weblogs- A Survey“.Global
Journal of Computer Science and Technology. Vol 11 Issue 17, oct 2011,ISSN: 0975-4172.
13. S.Chitra, B.Kalpana.(2011).“ A Novel Preprocessing Directed Acyclic Graph Technique
for session Construction“, International Journal of Computer Science and Information
Security., Vol .9. No: 12, Dec 2011.
14. R.Sangeetha, B.Kalpana.” Distributed Data association for multi target tracking- A
Mathematical perspective.”, Sciverse Science Direct, Procedia Engineering, 30(2012). Pp
1005-1012.
15. S. Balasaraswahi, B.Kalpana, “ Classification using modified PSO incorporating probabilistic
MH for improved convergence” International Journal of Science ,Education and Research.
Edited Book Author
G.Padmavathi, B.Kalpana, I. Elizabeth Shanthi, Advanced Computing Technologies,
Proceedings of the National Conference on Advanced Computing Technologies, Yesdee
Publishing Pvt ltd. ISBN 978-93-80381-02-2.

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linkedin resume

  • 1. 1 CurriculumVitae Name Dr. B.KALPANA Designation Professor in Computer Science Official Address Department of Computer Science Avinashilingam DeemedUniversity for Women Bharathi Park Road, Coimbatore-641043 Date of Birth 12.05.1968 Date of Appointment 5.09.91 Residential Address No: 55, Tenth Cross, New Thillai Nagar, P.N.Pudur post Coimbatore-641041 Email kalpanabsekar@yahoo.com kalpanacsekar@gmail.com kalpana_cs@avinuty.ac.in Phone +91 94864 47430 (Mobile) EDUCATION Degree University year Class B.Sc Computer Science Bharathidasan 1988 I M.Sc Computer Science Bharathidasan 1991 I M.Phil Computer Science Avinashilingam 1997 I Ph.D Computer Science Avinashilingam Oct 2008 Title of the Ph.D Thesis : Efficient Strategies for Mining Frequent Item sets and the Incremental Mining of Closed Frequent Item sets Based on a Lattice Framework. Teaching Experience : June 1990 to September 1991 – Cauvery College, Trichy. September 1991 till date- Avinashilingam Deemed University for Women, Coimbatore. Areas of Interest : Data Mining, Mobile computing and Wireless Technologies, Parallel and Distributed computing. Subjects Handled : Data structures, C, C++, Java, Compiler Design, Mobile
  • 2. 2 Computing, Parallel Computing, Software Engineering, Data Mining and warehousing. Awards  Best Paper Award for the paper titled “Lattice Based Strategies for Mining Frequent Item sets” at the International Conference on Systemics Cybernetics and Informatics (ICSCI- 2007), held at MCR Research Institute, Hyderabad, Jan 2007.  Certificate of Merit Award for the paper titled “Efficient Search Space Pruning Strategies for Mining Frequent Item sets”, International Conference on Data Mining and Applications (ICDMA2007), March 2007, International Association of Engineers and Computer Scientists, Hong Kong. Projects  Principal Investigator for the Project titled “Collaborative Context Sensitive Information Processing Model for Target Tracking”, sanctioned under Naval Research Board, DRDO, New Delhi.  Supervised several projects for the postgraduate and M.Phil students. Currently guiding 4 Ph.D research candidates. Three Students have completed M.Phil. Participation in University Activities:  National Service Scheme and Community Social Service  Boards of Studies  Question Paper Setting and Valuation  University Committee works  Organizing Seminars and Conferences Conferences Organized  National Conference on Advanced Computing Technologies- 19th Feb. 2010.  CYBROZ- 12- Inter collegiate Fest – 25th Jan 2012. Contributions to other Institutions Have been invited as session chair at
  • 3. 3 1. National conference on Innovations in Computing Methodologies- NCICM 2011, 16th Dec.2011, Dept. of Information Technology, Bharathiar University. 2. National conference on Advanced Computing and IT Applications (NCACITA '11) on Feb 18, 2011.KGISL Delivered the key note address on Data Mining and Business Intelligence. 3. Advances in Video, Cyber learning and Electronics-ADVICE 2012, NITTTR, Chandigarh, March 1-2, 2012. 4. Visiting Professor for M.Sc IT and Mgmt at the Institute of Finance Management, Dar – es –Salaam, Tanzania . Handled courses Data mining and warehousing , Total Quality Management 5. Resource Person , Faculty Development Programme on Data mining and Warehousing at Sree Saraswathi Thiagarajar College, Pollachi, 20th Oct.2012 Membership in Professional Bodies: o Member of the Computer Society of India o International Association of Engineers and Computer Scientists (IAENG) o International Association for Research in Computing Sciences (IARCS) o Review committee member for IAENG Conferences and Indian Journal of Science and Technology. Overseas Visits Visited Hong Kong to present a paper titled “Efficient Search Space Pruning Strategies for Mining Frequent Itemsets”, at the International Conference on Data Mining and Applications (ICDMA2007), March 2007. Visited Institute of Finance Management, Dar-es-salaam, Tanzania fr om 9/4/12 to 27/4/12 and 31/3/13 to 19/4/13 as visiting faculty for M.Sc IT and Management. Presented a paper titled “ A Collaborative Target tracking framework using particle filter” at WMNC 2013, Canadian University of Dubai, UAE in April 2013. References Dr. R. Nadarajan, Dr. P. Narayanasamy, Professor and Head, Professor and Head, Department of Mathematics and Computer Science School of Comp. Sc and Engg, PSG College of Technology, Coimbatore-641004 Anna University, Chennai.
  • 4. 4 Papers Presented at International Conferences/ Proceedings 1. B.Kalpana, R.Nadarajan, Arun Raghavendar. “Lattice Based Hybrid Strategies for Frequent Itemset Mining”, International Conference on Systemics, Cybernetics & Informatics (ICSCI 2007), Jan 2007. Won the Best Paper Award. 2. B.Kalpana, R.Nadarajan, Rukaiya Moyyad. “Efficient Search Space Pruning Strategies for Mining Frequent Itemsets”, International Conference on Data Mining and Applications (ICDMA2007), March 2007, IAENG Hong Kong, 2007.Won the Certificate of Merit Award. 3. B.Kalpana, R.Nadarajan, J.Senthil Babu. “Galois Lattice Framework to Handle Updates in the Mining of Closed Itemsets in Dynamic Databases” ACM Compute 2008, Jan 18th-20th, 2008, Bangalore, India, ACM Digital library.Article16.ISBN: 978-1-59593-950-0. 4. B.Kalpana, R.Nadarajan, J.Senthil Babu. “An Indexed Trie Approach to Incremental Mining of Closed Frequent Itemsets based on a Galois Lattice Framework”, 13th International Conference on Database Systems for Advanced Applications.ISBN978-3-540- 7857-5 (DASFAA 2008), 19th-21st March 2008, New Delhi. 5. B.Kalpana, “Web Based Education - Current Scenario and Future Prospects”, NETFORUM-2001, Mahatma Gandhi Kashi Vidyapeeth, Varanasi. 6. B.Kalpana. “Exploiting Parallelism in a Relational Database System- an analysis of Speedup, Efficiency and Scalability”. Digital Campus, Feb 23rd - 24th, 2001, Computer Society of India Cecri chapter. 7. B.Kalpana. “IT: The Industry where Women are under represented – Strategies to encourage Women participation”, Annual Conference of Women in IT, WIT 2002, Annamalai University, Aug 29th -30th 2002. 8. B.Kalpana. “Towards Gender Equity in Digital Era.” International Conference on Women in the Digital Era: Opportunities and Challenges-WIT 2003, 10th -12th Dec 2003.
  • 5. 5 9. P.Anitha, B.Kalpana. “Web Mining-Applications and Open issues”, First International Conference on Data Engineering and Management, ICDEM 2008, Bishop Heber College, Trichy, Feb 2008.ISBN: 978-81-906267-0-5. 10. P.Anitha, B.Kalpana. “Web Mining: Information and Pattern Discovery on the World Wide Web.” National Conference on Data Mining and Warehousing- NCDMW’08, Vidyasagar College of arts and Science, Udumalpet, March 2008. 11. B.Kalpana. “ Efficient Context Transformations for Representing large Datasets”, International Conference on Advanced Computing, Bharathidasan University Technology Parks and Cauvery College, Trichy, August 6-8, 2009.ISBN10:0230-3915-1. 12. Dr.B.Kalpana,R. Sangeetha. “A Study on Associative Classification Mining”, National Conference on Advanced Computing Technologies, NCACT 2010, 19th Feb-2010,ISBN 978- 93-80381-02-2. 13. . B. Dhivya, B. Kalpana. “Semantic Web Usage Mining by a Concept Based Approach for Off-line Web Site Enhancements”, NCACT 2010, 19th Feb-2010 ISBN 978-93-80381-02-2. 14. K. Devi Priyaa, B.Kalpana, “A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites”, NCACT 2010, 19th Feb-2010, ISBN 978-93-80381-02-2. 15. R. Sangeetha., Dr.B.Kalpana. “A Comparative Study and Choice of an Appropriate Kernel for Support Vector Machines”, ICT 2010, Sept 7-9, 2010, Springer-Verlag Berlin, Heidelberg. ISSN 1865-0929, ISBN 3-642-15765-3. 16. R. Sangeetha., Dr.B.Kalpana. “Optimizing the Kernel Selection for Support Vector Machines using Performance Measures”. A2CWIC 2010, Sept 16-17, 2010, ISSN 978-1- 4503-0914-7, ACM Digital Library. 17. R. Sangeetha., Dr.B.Kalpana. “Supervised Classification Techniques - A Review”, National Conference on Information and Communication Technology, NCICT-2010, 23rd April, 2010.
  • 6. 6 18. Dr.B.Kalpana, R.Sangeetha.”Nonlinear Principal Component Analysis Technique for Dimensionality Reduction in Large Scale Support Vector Machine Data”, International Conference on Mathematics and Computer Science, ICMCS 2011, January 2011. 19. Dr. B.Kalpana, R. Sangeetha.”A Novel Framework for Target Tracking and Data Fusion in Wireless Sensor Networks using Kernel Based Learning Algorithm”, Second International Conference on Recent Trends in Information, Telecommunication and Computing – ITC 2011,March 2011, ISSN: 978-3-642-19541-9 (Print) 978-3-642-19542-6 (Online). 20. R. Sangeetha., Dr.B.Kalpana.”Denoising the Signals using Kalman Filter for Target Tracking in Wireless Sensor networks”, Third International Conference on Electronics Computer Technology - ICECT 2011, April 8-10,2011.ISBN 978-1-4244-879-9. 21. S.Chitra, Dr. B.Kalpana .”Hierarchical Directed Acyclic Graph (HDAG) Based Preprocessing Technique for Session Construction”, Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, ISBN 978-3-642-31552-7. 22. S.Chitra, Dr. B.Kalpana .”Web Log Preprocessing Based on Partial Ancestral Graph Technique for Session Construction”, CoNeCo, WiMo, NLP, CRYPSIS, ICAIT, ICDIP, ITCSE, CS & IT 07, pp. 473–482, 2012, ISBN: 978-1-921987-05-2. 23. R. Sangeetha, B.Kalpana, “Evaluating the performance of an admissible kernel function in banach space for binary data.”,International journal of Advanced Computer Research,Vol-3, No:3,Issue -12, sept 2013, ISSN:2249-7277.pp. 110-113. Papers Published In Journals/ Edited Books 1. B.Kalpana, R.Nadarajan, “Hybrid Search Strategies for Mining Maximal Frequent and Frequent Item sets based on a Lattice Framework”, Journal of the Computer Society of India. Vol.37, No.2, ISSN 0254-7813April-June 2007, pp.2-7. 2. B.Kalpana, R.Nadarajan. “Optimizing Search Space Pruning in Frequent Itemset Mining with Hybrid Traversal Strategies- A Comparitive Performance on Different Data organizations”, IAENG International Journal of Computer Science,
  • 7. 7 34:1,IJCS_34_1_13,ISSN: 1819-9224(onlineversion); 1819 56X(printversion), September 2007, pp.97-104. Indexed by Directory of open Access Journals, DBLP, Scopus. Cited by 2. 3. B.Kalpana, R.Nadarajan. “Incorporating Heuristics for Efficient Search Space Pruning in FIM Strategies”, Current Science, Journal of the Indian Academy of Sciences, Bangalore. Vol. 94, ISSN: 0011-3891 .January 2008.pp.97-101.Indexed by scopus. Impact Factor . Cited by 1. 4. B.Kalpana, R.Nadarajan , Senthil Babu. “Galois Lattice Framework to Handle Updates in the Mining of Closed Itemsets in Dynamic Databases”, ACM Digital Library, DOI.10.1145/1341771.1341788, ISBN: 978-1-59593-950-0, Jan. 2008. 5.B.Kalpana, R.Nadarajan. “Novel and Efficient Search Strategies for Constraining the Search Space in Frequent Itemset Mining”. Trends in Intelligent Systems and Computer Engineering, Oscar Castillo, Li Xu and Sio-Long Ao Eds. ISBN: 978-0-387-74934-1 Springer, April 2008, pp.284-296. Cited by 2 6. B.Kalpana, R.Nadarajan, J.Senthil Babu. “An Indexed Trie Approach to Incremental Mining of Closed Frequent Itemsets Based on a Galois Lattice Framework”. Database Systems for Advanced Applications, J.R.Haritsa, R.Kotagiri, VikramPudiEds. LNCS 4947, Springer – Verlag, Berlin, Heidelberg,2008 pp.486-495. 7. B.Kalpana.“Using Context transformations as a pre processing Step in Mining large Datasets“.International Journal of Data Mining and Warehousing. CIIT International Journals. ISSN 0974-9683. Online ISSN 0974-9578, April 2009.pp.8-10. 8. K.Devipriyaa, B.Kalpana.” User’s Navigation Pattern Discovery using Ant Based Clustering and LCS Classification, Journal of Global Research in Computer Science.pp. 1-5,vol.no.1,Aug 2010. 9. A.B. Dhivya, B.Kalpana.” A study on the Performance of CT-Apriori and CT-PRO Algorithms using Compressed Structures for Pattern Mining. 10. R.Sangeetha, B.Kalpana (2011).“Identifying Kernel functions in Multiclass Support Vector Machines“, International Journal of Computer Applications,Vol. 28- No.8, Aug 2011. ISSN 0975-8887.
  • 8. 8 11. R.Sangeetha, B.Kalpana.(2011).“Performance Evaluation of Kernels in Multiclass Support vector machines“. International Journal of Soft Computing and Engineering, Vol I ,issue 5, Nov 2011. ISSN 2231-2307.pp.138-145. 12. S.Chitra, B.Kalpana,(2011).“Knowledge discovery from Weblogs- A Survey“.Global Journal of Computer Science and Technology. Vol 11 Issue 17, oct 2011,ISSN: 0975-4172. 13. S.Chitra, B.Kalpana.(2011).“ A Novel Preprocessing Directed Acyclic Graph Technique for session Construction“, International Journal of Computer Science and Information Security., Vol .9. No: 12, Dec 2011. 14. R.Sangeetha, B.Kalpana.” Distributed Data association for multi target tracking- A Mathematical perspective.”, Sciverse Science Direct, Procedia Engineering, 30(2012). Pp 1005-1012. 15. S. Balasaraswahi, B.Kalpana, “ Classification using modified PSO incorporating probabilistic MH for improved convergence” International Journal of Science ,Education and Research. Edited Book Author G.Padmavathi, B.Kalpana, I. Elizabeth Shanthi, Advanced Computing Technologies, Proceedings of the National Conference on Advanced Computing Technologies, Yesdee Publishing Pvt ltd. ISBN 978-93-80381-02-2.