Actionable knowledge has been qualitatively and intensively studied in the social sciences. Its marriage with data mining is only a recent story. On the one hand, data mining has been booming for a while and has attracted an increasing variety of increasing applications. On the other, it is a reality that the so-called knowledge discovered from data by following the classic frameworks often cannot support meaningful decision-making actions. This shows the poor relationship and significant gap between data mining research and practice, and between knowledge, power, and action, and forms an increasing imbalance between research outcomes and business needs. Thorough and innovative retrospection and thinking are timely in bridging the gaps and ...
Extant data mining is based on data-driven methodologies. It either views data mining as an autonomo...
Computer-based technologies have transformed the way we live, work, socialize, play, and learn. Toda...
Traditionally, knowledge actionability has been investigated mainly by developing and improving tech...
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world c...
Data Mining and Knowledge Discovery is a tested companion investigated logical diary zeroing in on d...
Knowledge Discovery in Databases (KDD) is the process of extracting previously unknown, hidden and i...
Data mining and knowledge discovery in databases have been attracting a foremost amount of research,...
Traditional data mining research mainly focus]es on developing, demonstrating, and pushing the use o...
Abstract—Traditional data mining research mainly focus]es on developing, demonstrating, and pushing ...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
The digital technologies and computer advances with the booming internet uses have led to massive da...
Abstract—Most data mining algorithms and tools stop at the mining and delivery of patterns satisfyin...
Data mining has made tremendous progress in the last ten years. However, a large gap remains between...
Most data mining algorithms and tools stop at the mining and delivery of patterns satisfying expecte...
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is...
Extant data mining is based on data-driven methodologies. It either views data mining as an autonomo...
Computer-based technologies have transformed the way we live, work, socialize, play, and learn. Toda...
Traditionally, knowledge actionability has been investigated mainly by developing and improving tech...
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world c...
Data Mining and Knowledge Discovery is a tested companion investigated logical diary zeroing in on d...
Knowledge Discovery in Databases (KDD) is the process of extracting previously unknown, hidden and i...
Data mining and knowledge discovery in databases have been attracting a foremost amount of research,...
Traditional data mining research mainly focus]es on developing, demonstrating, and pushing the use o...
Abstract—Traditional data mining research mainly focus]es on developing, demonstrating, and pushing ...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
The digital technologies and computer advances with the booming internet uses have led to massive da...
Abstract—Most data mining algorithms and tools stop at the mining and delivery of patterns satisfyin...
Data mining has made tremendous progress in the last ten years. However, a large gap remains between...
Most data mining algorithms and tools stop at the mining and delivery of patterns satisfying expecte...
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is...
Extant data mining is based on data-driven methodologies. It either views data mining as an autonomo...
Computer-based technologies have transformed the way we live, work, socialize, play, and learn. Toda...
Traditionally, knowledge actionability has been investigated mainly by developing and improving tech...