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of 33
pro vyhledávání: '"Gregory Piatetsky-Shapiro"'
Autor:
Gregory Piatetsky-Shapiro, Chabane Djeraba, Robert L. Grossman, Ronen Feldman, Mohammed J. Zaki, Lise Getoor
Publikováno v:
ACM SIGKDD Explorations Newsletter. 8:70-77
We discuss what makes exciting and motivating Grand Challenge problems for Data Mining, and propose criteria for a good Grand Challenge. We then consider possible GC problems from multimedia mining, link mining, large-scale modeling, text mining, and
Publikováno v:
ACM SIGKDD Explorations Newsletter. 5:191-196
Publikováno v:
ACM SIGKDD Explorations Newsletter. 5:1-5
All organisms on Earth, except for viruses, consist of cells. Yeast, for example, has one cell, while humans have trillions of cells. All cells have a nucleus, and inside nucleus there is DNA, which encodes the “program” for making future organis
Autor:
Xindong Wu, Nick Cercone, Ramamohanarao Kotagiri, W. Wah, Y. Lin, Gregory Piatetsky-Shapiro, S. Yu
Publikováno v:
Knowledge and Information Systems. 5:248-261
At the 2001 IEEE International Conference on Data Mining in San Jose, California, on November 29 to December 2, 2001, there was a panel discussion on how data mining research meets practical development. One of the motivations for organizing the pane
Autor:
Gregory Piatetsky-Shapiro
Publikováno v:
ACM SIGKDD Explorations Newsletter. 3:45-48
KDnuggets newsletter has a new section of interviews with leaders in the field. This article presents the interview with Usama Fayyad, President and CEO of digiMine.
Publikováno v:
ACM SIGKDD Explorations Newsletter. 2:76-80
Database marketers often select predictive models based on the lift in the top 5%, 10%, or 20%. However, dierent models may be better at dierent thresholds. Absent a good cost function, or when multiple cost functions are possible, we want a measure
Autor:
Evangelos Simoudis, Ronald J. Brachman, Tom Khabaza, Gregory Piatetsky-Shapiro, Willi Kloesgen
Publikováno v:
Communications of the ACM. 39:42-48
Publikováno v:
Communications of the ACM. 39:27-34
Autor:
Gregory Piatetsky-Shapiro
Publikováno v:
Journeys to Data Mining ISBN: 9783642280467
Journeys to Data Mining
Journeys to Data Mining
I talk about my journey as a scientist, a data miner, and a consultant; about history of KDD conferences and data mining field; and about interesting cases from my practice.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::235d9d35ba5ac22bb2fa0e5d305a54aa
https://doi.org/10.1007/978-3-642-28047-4_13
https://doi.org/10.1007/978-3-642-28047-4_13
Autor:
Gregory Piatetsky-Shapiro
Publikováno v:
The Knowledge Engineering Review. 9:57-60
As the number and size of very large databases continues to grow rapidly, so does the need to make sense of them. This need is addressed by the field called knowledge Discovery in Databases (KDD), which combines approaches from machine learning, stat