[Excerpt] Following the success of SIGKDD-DDDM2007, ICDM-DDDM2008, ICDM-DDDM2009, and ICDMDDDM2010, the “2011 International Workshop on Domain Driven Data Mining (DDDM2011)” workshop aims to provide a premier forum for sharing findings, knowledge, insight, experience and lessons in tackling potential challenges in discovering actionable knowledge from complex domain problems, promoting interaction and filling the gap between academia and business, and driving a paradigm shift from interesting hidden pattern mining to actionable knowledge discovery in varying data mining domains. [...](undefined
Abstract—Traditional data mining research mainly focus]es on developing, demonstrating, and pushing ...
International audienceThis book is a collection of representative and novel works in the field of da...
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19t...
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world c...
10.1109/ICDMW.2011.188Proceedings - IEEE International Conference on Data Mining, ICDMxxiii-xxi
Extant data mining is based on data-driven methodologies. It either views data mining as an autonomo...
The 20th IEEE International Conference on Data Mining (ICDM) hosts many co-located workshops, whose ...
Abstract The mainstream data mining faces critical challenges and lacks of soft power in solving rea...
This book constitutes the refereed post-conference proceedings of the 8th International Workshop on ...
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is...
Actionable knowledge discovery Is one of Grand Challenges in KDD. To this end, many methodologies ha...
As databases head towards data streams, discovering knowledge from the data poses challenges. The ne...
Traditional data mining research mainly focus]es on developing, demonstrating, and pushing the use o...
The 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2006) was held on...
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19t...
Abstract—Traditional data mining research mainly focus]es on developing, demonstrating, and pushing ...
International audienceThis book is a collection of representative and novel works in the field of da...
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19t...
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world c...
10.1109/ICDMW.2011.188Proceedings - IEEE International Conference on Data Mining, ICDMxxiii-xxi
Extant data mining is based on data-driven methodologies. It either views data mining as an autonomo...
The 20th IEEE International Conference on Data Mining (ICDM) hosts many co-located workshops, whose ...
Abstract The mainstream data mining faces critical challenges and lacks of soft power in solving rea...
This book constitutes the refereed post-conference proceedings of the 8th International Workshop on ...
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is...
Actionable knowledge discovery Is one of Grand Challenges in KDD. To this end, many methodologies ha...
As databases head towards data streams, discovering knowledge from the data poses challenges. The ne...
Traditional data mining research mainly focus]es on developing, demonstrating, and pushing the use o...
The 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2006) was held on...
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19t...
Abstract—Traditional data mining research mainly focus]es on developing, demonstrating, and pushing ...
International audienceThis book is a collection of representative and novel works in the field of da...
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19t...