Add to ORKGConference on Knowledge Discovery and Data Mining (KDD) in August 2003. The competition focused on mining the complex real-life social network inherent in the e-print arXiv (arXiv.org). We describe the four KDD Cup tasks: citation prediction, download prediction, data cleaning, and an open task. 1
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is...
The increase of e-learning resources such as interactive learning environments, learning management ...
International audienceWe discuss what makes exciting and motivating Grand Challenge problems for Dat...
As the premier international forum for data science, data mining, knowledge discovery and big data, ...
The digital technologies and computer advances with the booming internet uses have led to massive da...
The digital technologies and computer advances with the booming internet uses have led to massive da...
The main theme of the 17th International Conference on Electronic Publishing (ELPUB) concerns differ...
The volume includes a set of selected papers extended and revised from the 4th International confere...
International audienceFive high-quality workshops were held at the 13th Pacific-Asia Conference on K...
Knowledge Discovery in Databases (KDD) is a new field of research concerned with the extraction of h...
Abstract. It becomes a good habit to organize a data mining cup, a competition or a challenge at mac...
International audienceThis book highlights novel research in Knowledge Discovery and Management (KDM...
International audienceThis book is a collection of representative and novel works done in Data Minin...
Knowledge discovery and data mining (KDD) is a multidisciplinary field that researches and develops ...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is...
The increase of e-learning resources such as interactive learning environments, learning management ...
International audienceWe discuss what makes exciting and motivating Grand Challenge problems for Dat...
As the premier international forum for data science, data mining, knowledge discovery and big data, ...
The digital technologies and computer advances with the booming internet uses have led to massive da...
The digital technologies and computer advances with the booming internet uses have led to massive da...
The main theme of the 17th International Conference on Electronic Publishing (ELPUB) concerns differ...
The volume includes a set of selected papers extended and revised from the 4th International confere...
International audienceFive high-quality workshops were held at the 13th Pacific-Asia Conference on K...
Knowledge Discovery in Databases (KDD) is a new field of research concerned with the extraction of h...
Abstract. It becomes a good habit to organize a data mining cup, a competition or a challenge at mac...
International audienceThis book highlights novel research in Knowledge Discovery and Management (KDM...
International audienceThis book is a collection of representative and novel works done in Data Minin...
Knowledge discovery and data mining (KDD) is a multidisciplinary field that researches and develops ...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is...
The increase of e-learning resources such as interactive learning environments, learning management ...