Titlebook: Knowledge Discovery for Business Information Systems; Witold Abramowicz,Jozef Zurada Book 2002 Springer Science+Business Media New York 20

出血

The Role of Granular Information in Knowledge Discovery in Databases, are very much oriented towards end-users and imply that any results need to be easily interpretable. Granulation of information promotes this interpretability and channels all pursuits of data mining (that are otherwise computationally intensive and thus highly prohibitive) towards more efficient p

灰心丧气

Dealing with Dimensions in Data Warehousing,ion and fact tables is considered. A variant of the constellation schema with explicit dimension hierarchies is studied in detail. A dimension hierarchy . is extended to contain ISA-hierarchies built as specializations of . members. Derived tables can be created by restrictions on attributes of . me

Indecisive

Pepsin

Speeding up Hypothesis Development,ight knowledge by repeatedly querying the database, using so-called derivation streams. Each stream consists of several data exploration steps to select, filter, transform, etc. the input data for the final analysis step (e.g., a data mining algorithm). After executing a stream the data analyst rede

deviate

Sequence Mining in Dynamic and Interactive Environments,and a database update requires rediscovering all the patterns by scanning the entire old and new database. In this paper, we propose novel techniques for maintaining sequences in the presence of a) database updates, and b) user interaction (e.g. modifying mining parameters). This is a very challengi

DOSE

Investigation of Artificial Neural Networks for Classifying Levels of Financial Distress of Firms: ed interest in monitoring the firms’ financial performance. Most of the previous studies concerning predicting financial distress were performed for a dichotomous state such as nonbankrupt versus bankrupt or no going concern opinion versus going concern opinion. Many studies used well-balanced sampl

一起

prostate-gland

Robust Business Intelligence Solutions,nd productionalisation of data mining. The ideas presented come mostly from the author’s experience with implementations of large Business Intelligence projects at the Bank of Montreal. Some of these projects have won major international awards and recognition for unique, integrated, well performing and highly scalable solutions.

毕业典礼

Pander

978-1-4757-7475-7Springer Science+Business Media New York 2002