我吃花盘旋
发表于 2025-3-23 13:39:46
Data Mining in Finance: Current Advances and Future Challenges,as the Velocity (in terms of speed of arrival) and the Variety, in terms of the various types of data collected. This chapter focuses on techniques that address these issues. Specifically, we turn our attention to the financial sector, which has become paramount to business. Our discussion centers o
Prostaglandins
发表于 2025-3-23 14:16:47
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CHASE
发表于 2025-3-23 20:46:49
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Tdd526
发表于 2025-3-24 01:55:44
Discovering Networks of Interdependent Features in High-Dimensional Problems,nt features and rule networks do not only reflect some syntactical properties of the data and classifiers but also may convey meaningful clues about true interactions in the modeled biological system. In this chapter we develop further our method of Monte Carlo Feature Selection and Interdependency
跟随
发表于 2025-3-24 02:20:47
Big Data Analysis: New Algorithms for a New Society
尖牙
发表于 2025-3-24 06:41:48
J. Gasco,J. Sendra,J. Lim,I. Ngs within a spectrum of problems related to concept drift. Finally, we discuss some promising research directions from the application perspective, and present recommendations for application driven concept drift research and development.
逃避现实
发表于 2025-3-24 10:53:11
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竖琴
发表于 2025-3-24 18:27:16
An Overview of Concept Drift Applications,s within a spectrum of problems related to concept drift. Finally, we discuss some promising research directions from the application perspective, and present recommendations for application driven concept drift research and development.
轮流
发表于 2025-3-24 20:56:35
Big Data and the Internet of Things,mprove” their performance over time. Big data analytics has been identified as a key enabler for the IoT. In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so. We also discuss social implications and areas of concern.
CHARM
发表于 2025-3-25 00:24:10
Book 2016ea. ..It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional stati