Foundations and Novel Approaches in Data Mining

Foundations and Novel Approaches in Data

📁 Foundations and Novel Approaches in Data Mining

✍ Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu 📂 Library 📅 2006 🏛 Springer 🌐 English

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the ot

Foundations and Novel Approaches in Data

📁 Foundations and Novel Approaches in Data Mining

✍ Lawrence J. Mazlack (auth.), Professor Tsau Young Lin, Professor Setsuo Ohsuga, 📂 Library 📅 2006 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor” syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the

Foundations and Novel Approaches in Data

📁 Foundations and Novel Approaches in Data Mining

✍ Lawrence J. Mazlack (auth.), Professor Tsau Young Lin, Professor Setsuo Ohsuga, 📂 Library 📅 2006 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor” syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the

Foundations and Advances in Data Mining

📁 Foundations and Advances in Data Mining

✍ T. Poggio, S. Smale (auth.), Professor Wesley Chu, Professor Tsau Young Lin (eds 📂 Library 📅 2005 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent

Foundations and Advances in Data Mining

📁 Foundations and Advances in Data Mining

✍ T. Poggio, S. Smale (auth.), Professor Wesley Chu, Professor Tsau Young Lin (eds 📂 Library 📅 2005 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent

Data Mining and Constraint Programming:

📁 Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach

✍ Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sull 📂 Library 📅 2016 🏛 Springer International Publishing 🌐 English

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data