<p>Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the read
Data Mining Using Grammar Based Genetic Programming and Applications
✍ Scribed by Wong, Cheung.
- Publisher
- Kluwer
- Year
- 2000
- Tongue
- English
- Leaves
- 228
- Category
- Library
No coin nor oath required. For personal study only.
✦ Subjects
Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;
📜 SIMILAR VOLUMES
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader,
Powerful, Flexible Tools for a Data-Driven World<br />As the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision maki
Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and
<P><EM>Powerful, Flexible Tools for a Data-Driven World<BR></EM>As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better dec