The needs and benefits of applying textual data mining within the product development process

Quality and Reliability Engineering International

Volumn 20, Issue 1, 2004, Pages 1-15

  Menon, Rakesh ^a   Tong, Loh Han ^a   Sathiyakeerthi, S ^a   Brombacher, Aarnout ^a,b   Leong, Christopher ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Call center; Data mining; Product development process; Service center; Textual databases

Indexed keywords

DATA MINING; DATABASE SYSTEMS; DECISION THEORY; GENETIC ALGORITHMS; ITERATIVE METHODS; MAINTENANCE; NUMERICAL METHODS; QUALITY CONTROL; RELIABILITY;

CALL CENTER; LOOSELY STRUCTURED TEXTUAL DATA; SERVICE CENTER; TEXTUAL DATA MINING;

PRODUCT DEVELOPMENT;

EID: 1442284315     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.536     Document Type: Article

References (30)

1. Ulrich KT, Eppinger SD. Product Design and Development (2nd edn). McGraw-Hill, 2000.
2. Syan C.S. Introduction to concurrent engineering. Concurrent Engineering: Concepts, Implementation and Practice, Menon U, Syan CS (eds.), Chapman and Hall, 1994.
3. Brombacher AC. Betrouwbaardcheid van technische systemen, anticiperen op trends, Part II, Stichting Toekomstbeeld der Techniek: Den Haag, 2001.
4. Mulvenna MD, Büchner AG, Hughes JG. Re-engineering business processes to facilitate data mining. Proceedings of the 1st International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland, 1996.
5. Cheng PS, Chang P. Transforming corporate information into value through data warehousing and data mining. Aslib Proceedings 1998; 50(5): 109-113.
6. Fayyad UM, Piatetsky-Shapiro G, Smyth P. From data mining to knowledge discovery. Advances in Knowledge Discovery and Data Mining, Piatetsky-Shapiro G, Fayyad UM, Smyth P, Uthurusamy R (eds.). AAAI/MIT Press, 1996; 1-33.
7. Frawley WJ, Piatetsky-Shapiro G, Matheus CJ. Knowledge discovery in databases: An overview. Knowledge Discovery in Databases, Piatetsky-Shapiro G, Frawley B (eds.), AAAI/MIT Press, 1991; 1-30.
8. Han J, Kamber M. Data Mining: Concepts and Techniques. Morgan Kaufmann, 2000.
9. Fayyad UM. Data mining and knowledge discovery: Making sense out of data. IEEE Expert 1996; 1(5):20-25.
10. Cabena P, Hadjinian P, Stadler R, Verhees J, Zanasi A. Data Mining from Concept to Implementation. Prentice-Hall: Englewood Cliffs, NJ, 1997.
11. Berry MJ, Linoff G. Data Mining Techniques: For Marketing, Sales and Customer Support (1st edn). John Wiley and Sons, 1997.
12. Frawley WJ, Piatetsky-Shapiro G, Matheus CJ. Knowledge discovery in databases: An overview. AI Magazine 1992; (Fall): 57-70.
13. Shortland R, Scarfe R. Data mining applications in BT. BT Technological Journal 1994; 12(4): 17-22.
14. Buchner AG, Anand SS, Hughes JG. Data mining in manufacturing environments: Goals techniques and application. Studies in Informatics and Control 6(4):319-328.
15. Dagli CH, Lee H-C Impacts of data mining technology on product design and planning. Computer Applications in Production and Engineering, Plonka F, Olling G (eds.). Chapman and Hall, 1997; 58-70.
16. Wang XZ, Chen BH, McGreavy C. Data mining for failure diagnosis of process units by learning probabilistic network. Transactions of Institute of Chemical Engineers 1997; 75(Part B):210-216.
17. Koonce DA, Fang C-H, Tsai S-C. A data mining tool for learning from manufacturing systems. Computers and Industrial Engineering 1997; 33(1-2):27-30.
18. Kim SH, Lee CM. Nonlinear prediction of manufacturing systems through explicit and implicit data mining. Computers and Industrial Engineering 1997; 33(3-4):461-465.
19. Ferguson C-J, Lee B, MacArthur E, Irgens C. An application of data mining for product design. A paper delivered at the IEE Colloquium on Knowledge Discovery and Data Mining, 1998. IEE, 1998; 5/1-5/5.
20. Milne R, Drummong M, Renous P. Predicting paper making defects on-line using data mining. Knowledge-Base System 1998; 11:33-331-338.
21. Mastrangelo CM, Porter JM. Data mining in a chemical process application. Proceedings 1998 IEEE International Conference on Man, Systems and Cybernetics, 1999, 1999, vol. 3, IEEE Computer Society Press, 1999; 2917-2922.
22. Mcdonald CJ. New tools for yield improvement in integrated circuit manufacturing: Can they be applied to reliability? Microelectronics Reliability 1999; 39:731-739.
23. Tan P-N, Blau H, Harp S, Goldman R. Textual data mining of service centre call records. The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA, 2000. ACM Press, 2000.
24. Keerthi SS, Shevade SK, Bhattacharyya C, Murthy KRK A fast iterative nearest point algorithm for support vector machine classifier design. Report TR-ISL-99-03, Indian Institute of Science, 1999.
25. Joachims T. Text categorization with support vector machines: Learning with many relevant features. LS-8 Report 23, University of Dortmund 1998.
26. Van Rijsberger CJ. Information Retrieval. Butterworths, 1979.
27. Salton G, McGill MJ. Introduction to Modern Information Retrieval (1st edn). McGraw-Hill, 1983.
28. Lovins J. Development of a stemming algorithm. Mechanical Translation and Computational Linguistics 1968; 11:22-31.
29. Porter M. An algorithm for suffix stripping. Program 1980; 14(3):130-137.
30. Salton G, Buckley C. Term weighting approaches in automatic text retrieval. Information Processing and Management 1988; 24(5):513-523.