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Chichester: Wiley. (2003) 3. , and Smyth P. Principles of Data Mining, Cambridge, Massachusetts: MIT Press. (2001) 4. J. and Vinciotti V. Local versus global models for classification problems: fitting models where it matters. The American Statistician. 57, (2003) 124-131. Mining Positive and Negative Association Rules: An Approach for Confined Rules Maria-Luiza Antonie and Osmar R. ca Abstract. Typical association rules consider only items enumerated in transactions. Such rules are referred to as positive association rides.

Chaudhuri, and G. Das. DBXplorer: A system for keyword-based search over relational databases. In ICDE, San Jose, CA, 2002. IEEE. com/ 16 Soumen Chakrabarti 4. I. Androutsopoulos, G. D. Ritchie, and P. Thanisch. Natural language interfaces to databases–an introduction. Journal of Language Engineering, 1(1):29–81, 1995. 5. A. Balmin, V. Hristidis, and Y. Papakonstantinou. Authority-based keyword queries in databases using ObjectRank. In VLDB, Toronto, 2004. 6. G. Bhalotia, A. Hulgeri, C. Nakhe, S.

The first of these are application areas, mentioned above. Certainly, the growth of statistics over the 20th century was strongly directed by the applications. Thus agricultural requirements led to the early development of experimental design, psychology motivated the development of factor analysis and other latent variable models, medicine led to survival analysis, and so on. In other areas, speech recognition stimulated work on hidden Markov models, robotics stimulated work on reinforcement learning, etc.

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Estimation in regression models for longitudinal binary data with outcome-dependent follow-up by Fitzmaurice G.M., Lipsitz S.R., Ibrahim J.G.

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