Titlebook: Data Mining for Business Applications; Longbing Cao,Philip S. Yu,Huaifeng Zhang Book 2009 Springer-Verlag US 2009 Business Decision Making

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魯莽

絕緣

On Mining Maximal Pattern-Based Clustersion systems and target marketing systems in e-business. However, pattern-based clustering in large databases is still challenging. On the one hand, there can be a huge number of clusters and many of them can be redundant and thus make the pattern-based clustering ineffective. On the other hand, the

急急忙忙

Role of Human Intelligence in Domain Driven Data Miningeparation, modeling, evaluation and deployment. Various data mining tasks are dependent on the human user for their execution. These tasks and activities that require human intelligence are not amenable to automation like tasks in other phases such as data preparation or modeling are. Nearly all Dat

類似思想

Ontology Mining for Personalized Search provide a satisfactory solution for this challenge, because there exists a lot of uncertainties in the local information repositories. In this chapter, we introduce ontology mining, a new methodology, for solving this challenging issue, which aims to discover interesting and useful knowledge in dat

ELATE

ELATE

978-1-4419-4635-5Springer-Verlag US 2009

adjacent

Longbing Cao,Philip S. Yu,Huaifeng ZhangPresents knowledge, techniques and case studies to bridge the gap between business expectations and research outputs.Explores new research issues in data mining, including trust, organizational and so

Free-Radical

遠(yuǎn)足

Large-Scale Interconnected Systems,igm shift from ‘data mining’ to ‘knowledge discovery’, we believe much more thorough efforts are essential for promoting the wide acceptance and employment of knowledge discovery in real-world smart decision making. To this end, we expect a new paradigm shift from ‘data-centered knowledge discovery’