Data mining is known as an interdisciplinary subfield of computer science and is a computing process of discovering patterns in huge data sets. In fact, it is considered as an essential process where an intelligent approach is applied to extract data patterns.
Here, the list of latest algorithms in Data Mining Projects for Engineering Students such as
C4.5 algorithm is used to generate a classifier in the form of a decision tree. It is given a set of data which represents things that have been classified. As a matter of fact, C4.5 is referred to as a statistical classifier is an extension of Quinlan's ID3 algorithm. The decision tree which is generated by C4.5 can be used for classification. This algorithm has been described as a "landmark decision tree program that is the machine learning workhouse most widely used in practice to date".
K-means clustering is also known as centroid classifier or The Rocchio algorithm is an approach of vector quantization which is well suitable for cluster analysis in data mining projects. As well as, it is used to create k groups from a set of objects just so that the members of groups are more similar. It is well popular cluster analysis technique used for exploring a dataset.
Apriori algorithm which is used for frequent itemset mining and association rule learning overall transactional databases. The algorithm is proceeded by the identification of individual items which is frequent in the database and then extending them to larger itemsets as long as sufficiently those item sets appear often in the database. These frequent itemsets which are determined by Apriori can be used for the determination of association rules which then highlight general trends, Embedded System Projects
PageRank that was named after Larry Page who is one of the Google founders. This algorithm is used by Google search to rank the websites in their search engine results. This is the first algorithm that was used by the company is not only the algorithm which is being used by Google to order search engine results. And it is the best-known way of measuring the importance of website pages.
kNN means the k-nearest neighbors algorithm is a type of instance-based learning and is considered as a nonparametric method which is used for classification and regression. In both the mentioned cases, the input consists of the k closest training examples in the feature space and the output depends on whether the algorithm is being sued for regression and classification. This Data Mining Algorithm is considered and is also the simplest of all machine learning algorithms.
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