Titlebook: Data Classification and Incremental Clustering in Data Mining and Machine Learning; Sanjay Chakraborty,Sk Hafizul Islam,Debabrata Sama Boo

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Introduction to Data Mining and Knowledge Discovery,es. It has an enormous use to make strategic decisions by business executives after analyzing the hidden truth of data. Data mining one of the steps in the knowledge-creation process. A data mining system consists of a data warehouse, a database server, a data mining engine, a pattern analysis modul

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A Brief Concept on Machine Learning,ior facts or experiences. Most of us utilize various machine learning techniques every day when we use Netflix, YouTube, Spotify recommendation algorithms, and Google and Yahoo search engines and voice assistants like Google Home and Amazon Alexa. All of the data is labeled, and algorithms learn to

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Data Classification and Incremental Clustering Using Unsupervised Learning,to hidden patterns; unsupervised learning is used to find clusters, and the resulting system is a data concept. As a result, clustering is the unsupervised discovery of a hidden data concept. The computing needs of clustering analysis are increased because?data mining deals with massive databases. A

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Research Intention Towards Incremental Clustering, new data into a similar group of clusters. The existing K-means and DBSCAN clustering algorithms are inefficient to handle the large dynamic databases because, for every change in the incremental database, they simply run their algorithms repeatedly, taking lots of time to properly cluster those ne

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