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@article{196013,
        author = {Mrs  A.Sheeba and Mrs G.S Geethamani and Mrs N.Dhanapriya},
        title = {DATA MINING IN ARTIFICIAL NEURAL NETWORKS APPLICATION PROCESSING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1425-1428},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196013},
        abstract = {Data mining is a new and rapidly growing field. It draws ideas and resources from multiple disciplines, including machine learning, statistics, database research, high performance computing and commerce. This explains the dynamic, multifaceted and rapidly evolving nature of the data mining discipline. While there is a broad consensus that the abstract goal of data mining is to discover new and useful information in data bases this is where the consensus ends and the means of achieving this goal are as diver seas the communities contributing. The foundations of all data mining methods, however, are in mathematics. Any moderately sized treatment of data mining techniques necessarily has to be selective and maybe biased towards a particular approach. Data mining techniques are used to find patterns, structure or regularities and singularities in large and growing data sets. Artificial neural network ANN are gross simplification of real networks of neurons. The paradigm of neural network which began during the 1940’s promises to be a very important tool for studying the structure-function relationship of human brain. Due to the complexity and incomplete understanding of biological neurons. Various architecture of artificial neural network has been reported in the literature. The aim neural network is to mimic the human ability to adopt to changing in circumstances and the current environment. In this paper I will Discuss about Neural networks are useful for data mining and decision-support applications},
        keywords = {AI, Data mining, Data Models, Pattern},
        month = {April},
        }