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Viac informácií o knihe Monotone Prediction Models in Data Mining

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 193 bodov

Anotácia knihy

In many decision problems, it is a priori known that§the target function should satisfy certain§constraints imposed by, for example, economic theory§or a human-decision maker. One common type is the§monotonicity constraint stating that the greater an§input is, the greater the output must be, all other§inputs being equal. Well-known examples include§investment decisions, medical diagnosis, selection§and evaluation tasks. However, often the models§obtained by traditional data mining techniques alone§does not meet these constraints. Therefore, this book§provides a thorough study on the incorporation of§monotonicity constraints into a data mining process§to improve knowledge discovery and facilitate the§decision-making process for end-users by deriving§more accurate and plausible decision models. The main§contributions include a novel procedure to test the§degree of monotonicity of a data set, a greedy§algorithm to transform non-monotone into monotone§data, and extended and novel approaches to build§monotone decision models. The theoretical and§empirical findings should be valuable to graduates,§researchers and practitioners involved in the study§and development of data mining systems.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Monotone Prediction Models in Data Mining
• Autor: Marina Velikova
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 216
• EAN: 9783639112672
• ISBN: 3639112679
• ID: 06820159
• Nakladateľ: VDM Verlag
• Hmotnosť: 295 g
• Rozmery: 229 × 152 × 12 mm
• Dátum vydania: 23. December 2008

Obľúbené z iného súdka

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