Data Mining Patterns: New Methods and Applications

Data Mining Patterns: New Methods and Ap

📁 Data Mining Patterns: New Methods and Applications (Premier Reference Source)

✍ pascal Poncelet, pascal Poncelet, Florent Masseglia, Maguelonne Teisseire 📂 Library 📅 2007 🏛 Idea Group Reference 🌐 English

Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science. Currently, the data mining community is focusing on new problems such

Data Mining Patterns: New Methods and Ap

📁 Data Mining Patterns: New Methods and Applications (Premier Reference Source)

✍ pascal Poncelet, pascal Poncelet, Florent Masseglia, Maguelonne Teisseire 📂 Library 📅 2007 🏛 Idea Group Reference 🌐 English

Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science. Currently, the data mining community is focusing on new problems such

Data Mining Methods and Applications

📁 Data Mining Methods and Applications

✍ Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg 📂 Library 📅 2007 🏛 Auerbach Publications, CRC Press 🌐 English

With today’s information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. <P><STRONG>Gain a Competitive Advantage </STRONG> <UL> <LI>

Matrix methods in data mining and patter

📁 Matrix methods in data mining and pattern recognition

✍ Lars EldÃ©n 📂 Library 📅 2007 🏛 Society for Industrial and Applied Mathematics 🌐 English

Matrix methods in data mining and patter

📁 Matrix methods in data mining and pattern recognition

Matrix methods in data mining and patter

📁 Matrix methods in data mining and pattern recognition

Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and