Ensemble Learning approach in Data Mining
In our day to day life, when crucial decisions are made in a meeting, a voting among the members present in the meeting is conducted when the opinions of the members conflict with each other. This principle of “voting” can be applied to data mining also. In the voting scheme, when classifiers are combined, the class assigned to a test instance will be the one...
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Privacy Preserving Data Mining (PPDM) Techniques
Based on the five dimensions explained in the previous blog different PPDM techniques can be categorized into following categories. PPDM is divided into two parts centralized and distributed which is further categorized into 5 techniques. 1. Anonymization Based: Anonymization is a technique in which record owner’s identity or sensitive data remain hidden. In a table, the most basic form of data consists of four types...
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Privacy Preserving Data Mining
Data mining is one of the rapidly increasing fields in the computer industry that deals with extracting patterns from large data sets. It is used to extract human understandable information. Moreover, data mining plays an important role in many business organizations, financial, educational and health companies and revealing sensitive information is a big harm. From the point of view of the organization, mining is helpful...
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Topics in Machine Learning Research
Data mining is an interdisciplinary subfield of computer science It 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. 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. IEEE 2016-2017 DATA...
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Association Rule Mining
Association rules are one of the major techniques of data mining. It finds frequent patterns, associations, correlations or informal structures among sets of items or objects in transactional databases and other information repositories.It is one of the most important data mining tasks, which aims at finding interesting associations and correlation relationships among large sets of data items. A typical example of association rule mining is...
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