International audienceWe 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 proteomics. This report is the result of a panel held at ACM KDD-2006 conference
Abstract. This article presents a solution to the PAKDD’07 Data Mining competition. We mainly discus...
Data mining is an emerging field gaining acceptance in research and industry. This is evidenced by a...
Data mining involves extracting interesting patterns from data and can be found at the heart of oper...
A grand challenge problem (Wah, 1993) refers to a computing problem that cannot be solved in a reaso...
Abstract-- Data mining is considered to deal with huge amounts of data which are kept in the databas...
When considering the merit of data mining challenges, we need to answer the question of whether the ...
International audienceThis report presents a brief overview of multimedia data mining and the corres...
The digital technologies and computer advances with the booming internet uses have led to massive da...
We report on the panel discussion held at the ICDM'10 conference on the top 10 data mining case stud...
The digital technologies and computer advances with the booming internet uses have led to massive da...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
International audienceComputer science is essentially an applied or engineering science , creating t...
This report presents a brief overview of multimedia data mining and the corresponding workshop serie...
Conference on Knowledge Discovery and Data Mining (KDD) in August 2003. The competition focused on m...
Data Mining is an idea based on a simple analogy. The growth of data warehousing has created mountai...
Abstract. This article presents a solution to the PAKDD’07 Data Mining competition. We mainly discus...
Data mining is an emerging field gaining acceptance in research and industry. This is evidenced by a...
Data mining involves extracting interesting patterns from data and can be found at the heart of oper...
A grand challenge problem (Wah, 1993) refers to a computing problem that cannot be solved in a reaso...
Abstract-- Data mining is considered to deal with huge amounts of data which are kept in the databas...
When considering the merit of data mining challenges, we need to answer the question of whether the ...
International audienceThis report presents a brief overview of multimedia data mining and the corres...
The digital technologies and computer advances with the booming internet uses have led to massive da...
We report on the panel discussion held at the ICDM'10 conference on the top 10 data mining case stud...
The digital technologies and computer advances with the booming internet uses have led to massive da...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
International audienceComputer science is essentially an applied or engineering science , creating t...
This report presents a brief overview of multimedia data mining and the corresponding workshop serie...
Conference on Knowledge Discovery and Data Mining (KDD) in August 2003. The competition focused on m...
Data Mining is an idea based on a simple analogy. The growth of data warehousing has created mountai...
Abstract. This article presents a solution to the PAKDD’07 Data Mining competition. We mainly discus...
Data mining is an emerging field gaining acceptance in research and industry. This is evidenced by a...
Data mining involves extracting interesting patterns from data and can be found at the heart of oper...