Data Mining : Theories, Algorithms, and Examples
✍ Scribed by Ye, Nong
- Publisher
- CRC Press
- Year
- 2013
- Tongue
- English
- Leaves
- 347
- Series
- Human Factors and Ergonomics
- Category
- Library
No coin nor oath required. For personal study only.
✦ Subjects
Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;
📜 SIMILAR VOLUMES
Regular expressions can be used as patterns to extract features from semi-structured and narrative text [8]. For example, in police reports a suspect's height might be recorded as "{CD} feet {CD} inches tall", where {CD} is the part of speech tag for a numeric value. The result in [1] shows us that
<p><P>The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human acti
The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem stud
Dotnetslackers.com, 2008. — 112 p.<div class="bb-sep"></div>This book written by Granville Barnett and Luca Del Tongo is part of an effort to provide all developers with a core understanding of algorithms that operate on various common, and uncommon data structures.<div class="bb-sep"></div>Contents