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Can I read Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings (Lecture Notes in Computer Science (3056)) on EtoBox?

Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings (Lecture Notes in Computer Science (3056)) by Philip S. Yu (auth.), Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang (eds.) is a nonfiction available to read on EtoBox.

What is Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings (Lecture Notes in Computer Science (3056)) about?

Thepaci?c-asiaconferenceonknowledgediscoveryanddatamining(pakdd) Has Been Held Every Year Since 1997. This Year, The Eighth In The Series (pakdd 2004) Was Held At Carlton Crest Hotel, Sydney, Australia, 26–28 May 2004. Pakdd Is A Leading International Conference In The Area Of Data Mining. It P- Vides An International Forum For Researchers And Industry Practitioners To Share Their New Ideas, Original Research Results And Practical Development Experiences From All Kdd-related Areas Including Data Mining, Data Warehousing, Machine Learning, Databases, Statistics, Knowledge Acquisition And Automatic Scienti?c Discovery, Data Visualization, Causal Induction, And Knowledge-based Systems. The Selection Process This Year Was Extremely Competitive. We Received 238 Researchpapersfrom23countries,whichisthehighestinthehistoryofpakdd, And Re?ects The Recognition Of And Interest In This Conference. Each Submitted Research Paper Was Reviewed By Three Members Of The Program Committee. F- Lowing This Independent Review, There Were Discussions Among The Reviewers, And When Necessary, Additional Reviews From Other Experts Were Requested. A Total Of 50 Papers Were Selected As Full Papers (21%), And A

Who reads Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings (Lecture Notes in Computer Science (3056))?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Philip S. Yu (auth.), Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang (eds.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2004
Language
EN
ISBN
9786610308071
Category
nonfiction
Subjects
Management, Science, Business

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