- Algorithms
- Artificial Intelligence (75)
- Assembly Language
- Computational Complexity Theory (2)
- Computer Engineering (190)
- Computer Networks (29)
- Internet (132)
- Data Mining (1)
- Data Structure (80)
- Discrete Mathematics (43)
- Distributed Computing (1)
- File Sharing (8)
- Hacking (74)
- History of Computer Science (209)
- Machine Learning (3)
- Programming (352)
- Quantum Computing
- Robotics (30)
- Software Engineering (44)
Topics: Data Mining
Data Mining
Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. It is an interdisciplinary subfield of computer science. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.
Kernel machines are used to compute non-linearly separable functions into a higher dimension linearly separable function.

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