Term frequency - function of document frequency: A new term weighting scheme for enterprise information retrieval

Enterprise Information Systems

Volumn 6, Issue 4, 2011, Pages 433-444

  Zhang, Hui ^a   Wang, Deqing ^a   Wu, Wenjun ^a   Hu, Hongping ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

enterprise information retrieval; function of document frequency; relevance ranking; term frequency; term weighting scheme

Indexed keywords

BUSINESS ANALYTICS; BUSINESS ENVIRONMENTS; CONVEX FUNCTIONS; DECREASING FUNCTIONS; DOCUMENT FREQUENCY; INVERSE DOCUMENT FREQUENCY; RELEVANCE RANKING; TERM FREQUENCY; TERM WEIGHT; TERM WEIGHTING SCHEME; TF-IDF SCHEME; WEIGHT VALUES;

INFORMATION RETRIEVAL; TEXT PROCESSING; VECTOR SPACES;

INDUSTRY;

EID: 84864690379     PISSN: 17517575     EISSN: 17517583     Source Type: Journal    
DOI: 10.1080/17517575.2012.665945     Document Type: Article

References (36)

1. Aldin, L. and de Cesare, S. 2011. A literature review on business process modelling: new frontiers of reusability. Enterprise Information Systems, 5(3): 359-383.
2. Beheshti, H. and Beheshti, C. 2010. Improving productivity and firm performance with enterprise resource planning. Enterprise Information Systems, 4(4): 445-472.
3. Buckley, C., Singhal, A. and Mitra, M. New retrieval approaches using SMART. Proceeding of the 4th Text Retrieval conference (TREC-4). NIST Special Publication. Washington, DC: US Government Printing Office, 25-48.
4. Chiang, D., Lin, C. and Chen, M. 2011. The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres. Enterprise Information Systems, 5(2): 219-234.
5. Duan, L. 2007. A local-density based spatial clustering algorithm with noise. Information Systems, 32: 978-986.
6. Duan, L. 2009. Cluster-based outlier detection. Annals of Operations Research, 168: 151-168.
7. Duan, L., Street, W. and Xu, E. 2011. Healthcare information systems: data mining methods in the creation of a clinical recommender system. Enterprise Information Systems, 5(2): 169-181.
8. Fabrizio, S. 2002. Machine learning in automated text categorization. ACM Computing Surveys, 34(1): 1-47.
9. Feng, S., Li, L. and Cen, L. 2001. An objected-oriented intelligent design tool to aid the design of manufacturing systems. Knowledge-based Systems, 14: 225-232.
10. Gong, Z., Muyeba, M. and Guo, J. 2010. Business information query expansion through semantic network. Enterprise Information Systems, 4(1): 1-22.
11. Jarvelin, K. and Kekalainen, J. 2002. Cumulated Gain-based Evaluation of IR Techniques. ACM Transactions on Information Systems, 20(4): 422-446.
12. Jeong, O., Lee, E. and Kim, W. 2009. Refine search results using a mining framework. Expert System with Applications, 36: 11204-11210.
13. Jiang. 2009. Influencing factors for predicting financial performance based on genetic algorithms. Systems Research and Behavioral Science, 26(6): 661-673.
14. Jin, R., Falusos, C. and Hauptmann, A.G. Meta-scoring: automatically evaluating term weighting schemes in IR without precision-recall. Proceedings of the 24th ACM international conference on research and development in information retrieval (SIGIR'01). pp.83-89. New Orleans, Louisiana: ACM.
15. Li, L. 1999. Knowledge-based problem solving: an approach to health assessment. Expert Systems with Applications, 16(1): 33-42.
16. Li, L. 2007. Advances in intelligent information processing. Information Systems, 32(7): 941-943.
17. Narman, P. 2011. Data accuracy assessment using enterprise architecture. Enterprise Information Systems, 5(1): 37-58.
18. Pantel, P. and Lin, D. Document clustering with committees. Proceedings of the 25th ACM international conference on research and development in information retrieval (SIGIR'02). pp.199-206. Tampere, Finland: ACM.
19. Perez-Castillo, R. 2011. Generating event logs from non-process-aware systems enabling business process mining. Enterprise Information Systems, 5(3): 301-335.
20. Reed, J. TF-ICF: A new term weighting scheme for clustering dynamic datastreams. Proceedings of machine learning and applications. ICMLA'06. pp.258-263. Washington, DC: IEEE Computer Society.
21. Ricardo, B. and Berthier, R. 1999. Modern information retrieval, New York: Addison-Wesley.
22. Roelleke, T. A frequency-based and a Poisson-based definition of the probability ofbeing informative. Proceedings of the SIGIR 2003. pp.227-234. New York: ACM Press.
23. Salton, G. and McGill, M.J. 1983. Introduction to modern information retrieval, New York: McGraw-Hill.
24. Salton, G., Wong, A. and Yang, C. 1975. A vector space model for information retrieval. Communications of the ACM, 18(11): 613-620.
25. Shi, Z. 2007. MSMiner-a developing platform for OLAP. Decision Support Systems, 42(4): 2016-2028.
26. Tokunga, T. 1994. Text categorization based on weighted inverse document frequency, Tech. Rep. TR0001. Tokyo, Japan: Department of Computer Science, Tokyo Institute of Technology.
27. Wang, K. 2010. A service-based framework for pharmacogenomics data integration. Enterprise Information Systems, 4(3): 225-245.
28. Wang, L. 2009. Knowledge portal construction and resources integration for a large scale hydropower dam. Systems Research and Behavioral Science, 26(3): 357-366.
29. Wang, L., Zeng, J. and Xu, L. 2011. A decision support system for substage-zoning filling design of rock-fill dams based on particle swarm optimization. Information Technology & Management, 12: 111-119.
30. Wetzstein, B. 2011. Identifying influential factors of business process performance using dependency analysis. Enterprise Information Systems, 5(1): 79-98.
31. Xu, E., Wermus, M. and Bauman, D. 2011. Development of an integrated medical supply information system. Enterprise Information Systems, 5(3): 385-399.
32. Xu, L. 2011a. Enterprise systems: state-of-the-art and future trends. IEEE Transactions on Industrial Informatics, 7(4): 630-640.
33. Xu, L. 2011b. Information architecture for supply chain quality management. International Journal of Production Research, 49(1): 183-198.
34. Xu, L. 2006. Integrating knowledge management and ERP in enterprise information systems. Systems Research and Behavioral Science, 23(2): 147-156.
35. Xu, L. 2008. An integrated approach for agricultural ecosystem management. IEEE Transactions on SMC Part C, 38(4): 590-599.
36. Xu, S. and Xu, L. 2011. Management: a scientific discipline for humanity. Information Technology & Management, 12: 51-54.