The week's pick
Random Articles
Reseach Article
Pattern Mining Method for Hospital Facility Review using Optimized Nonlinear Mathematical Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 63 - Number 4 |
| Year of Publication: 2013 |
| Authors: K. Janaki, N. Radhakrishnan |
10.5120/10458-5167
|
K. Janaki, N. Radhakrishnan . Pattern Mining Method for Hospital Facility Review using Optimized Nonlinear Mathematical Model. International Journal of Computer Applications. 63, 4 ( February 2013), 50-56. DOI=10.5120/10458-5167
Abstract
The development of discovering appealing, valuable and important patterns from large spatial datasets is stated as spatial data mining. From the preceding hospital location analyses technique, the locations are predicted from the hospital dataset using pattern mining technique. In terms of road weightage computation the location analyses technique is not enough in its performance. In order to improve the performance, a new hospital location analyses method is proposed in this paper with non linear mathematical model. The proposed method comprises of four major stages, namely, feature compilation, developed non linear mathematical model, selection of patterns (locations) by utilizing pattern mining and location analyses. Initially the features are collected from the historical dataset that are related to information on roads and the nearest hospital locations. Based on the assembled information a non linear mathematical model is developed for the roads. The non linear mathematical model is a developed model and this is optimized by the Genetic Algorithm (GA). This optimized non linear mathematical model is utilized in the hospital location analyses process. Thus our proposed technique successfully selects the hospital locality via optimized non linear mathematical model and pattern mining. The implementation results showed the effectiveness of the proposed hospital location analyses method in predicting the hospitals and the achieved improvement in the analyses result. Furthermore, the performance of the proposed technique is evaluated by comparing it with the previous hospital location analyses method.
References
- Dr. Varun Kumar and Anupama Chadha, "An Empirical Study of the Applications of Data Mining Techniques in Higher Education", International Journal of Advanced Computer Science and Applications, Vol. 2, No. 3, pp. 80-84, March 2011
- Ehsan Hajizadeh, Hamed Davari Ardakani and Jamal Shahrabi, "Application of data mining techniques in stock markets: A survey", Journal of Economics and International Finance, Vol. 2, No. 7, pp. 109-118, July 2010
- Ravikumar and Gnanabaskaran, "ACO based spatial data mining for traffic risk analysis", International Journal of Computational Intelligence Techniques, Vol. 1, No. 1, pp. 6-13, 2010
- Karel, Janecka, Hana and Hulova, "Using Spatial Data Mining to Discover the Hidden Rules In the Crime Data", In Proceedings of Symposium on GIS Ostrava, 2011
- Kodge and Hiremath, "Detection of Spatial Changes using Spatial Data Mining", Advances in Information Mining, Vol. 2, No. 2, pp-14-18, 2010
- Manikandan and Srinivasan, "Mining Spatially Co-Located Objects from Vehicle Moving Data", European Journal of Scientific Research, Vol. 68 No. 3, pp. 352-366, 2012
- Yan Huang, Hui Xiong, Shashi Shekhar and Jian Pei, "Mining Confident Co-location Rules without A Support Threshold", In Proceedings of the ACM Symposium on Applied Computing (SAC), Melbourne, FL, USA, pp. 497-501, 2003
- Martin Ester, Hans-Peter Kriegel and Xiaowei Xu, "Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification", In Proceedings of the Fourth International Symposium on Large Spatial Databases (SSD 95), Portland, Maine, USA, Lecture Notes in Computer Science, Springer, 1995
- Sumathi, Geetha and Sathiya Bama, "Spatial Data Mining - Techniques Trends and Its Applications", Journal of Computer Applications, Vol. 1, No. 4, pp. 28-30, 2008
- Rajesh, "Application of Spatial Data Mining for Agriculture", International Journal of Computer Applications, Vol. 15, No. 2, pp. 7-9, 2011
- Arabinda Nanda and Saroj Kumar Rout, "Data Mining & Knowledge Discovery in Databases: An AI Perspective", In Proceedings of national Seminar on Future Trends in Data Mining, Bhubaneswar, 2010
- Joyce Jackson, "Data Mining: A Conceptual Overview", Communications of the Association for Information Systems, Vol. 8, pp. 267-296, 2002
- Adeel Ansari and Seema Ansari, "The Concept of Data mining, Its Applications & Issues", Jouranl of Engineering and Sciences, Vol. 4, No. 1, pp. 26-30, 2010
- Hiremath, Kodge and Mankari, "Extraction and Visualization of Geospatial data from Spatial Database: A Case Study", BIOINFO Systems Engineering, Vol. 1, No. 1, pp. 06-10, 2011
- Anandhi and Natarajan Subramanyam, "Efficient Consensus Function for Spatial Cluster Ensembles: An heuristic layered approach", In Proceedings of International Symposium on Computing, Communication, and Control, Singapore, Vol. 1, pp. 112-117, 2011
- Arunadevi and Rajamani, "Multi Label Spatial Semi Supervised Classification using Spatial Associative Rule Mining and Evolutionary Algorithms", Computer Science & Information Technology, pp. 197–210, 2011
- Fawzi Elias Bekri and Govardhan, "Association of Data Mining and Healthcare Domain: Issues and Current State of the Art", Global Journal of Computer Science and Technology, Vol. 11, No. 21, December 2011
- Prasad, Manoj Kumar and Pavitra, "Spatial Data mining Evaluation of visible Nearest Neighbor Query", International Journal of Computer Science and Technology, Vol. 2, No. 2, pp. 266-275, June 2011
- Pariwate Varnakovida and Joseph P. Messina, "Hospital Site Selection Analysis", In Proceedings of the IMAGIN annual Conference, 2006
- Singh, Malik and Sharma, "Evolving Limitations in K-Means Algorithm in Data Mining and their Removal", International Journal of Computational Engineering & Management, Vol. 12, pp. 105-109, 2011
- Aloysius George, D. Binu, "DRL-PREFIXSPAN A Novel Pattern Growth Algorithm for Discovering Downturn, Revision and Launch (DRL) Sequential Patterns", Central European Journal of Computer Science, springer, vol. 2, no. 4, pp. 426-439, December 2012.
- Maragatham G & Lakshmi M "A strategy for Mining Utility based Temporal Association Rules", TISC 2010 ,Proceedings of the 2nd International Conference on Trendz In Information Sciences and Computing, Dec 17-19,2010. DOI :978-1-4244-9009-7/10 IEEE Xplore
- Aloysius George,B. R. Rajakumar and D. Binu, "Genetic algorithm based airlines booking terminal open/close decision system", In proceedings of the International Conference on Advances in Computing, Communications and Informatics, pages 174-179, 2012
- Radhakrishnan, P. , Prasad, V. M. , and Gopalan, M. R, "Genetic Algorithm Based Inventory Optimization Analysis in Supply Chain Management", IEEE International on Advance Computing Conference, pp. 418 - 422, 2009.
- Pradhan, M. , Pattnaik, S. , and Mittra, B. , "Effective Classification Technique by Blending of PPCA and EP-Enhanced Supervised Classifier: Classifies Microarray Gene Expression Data", American Journal of Scientific Research, No. 11, pp. 60-71, 2010.
Index Terms
Keywords