AK Miner: An Online Data Mining Tool
نویسندگان
چکیده
The world today is moving faster in the software industry than anywhere else. To keep data mining tools accessible to everyone is a Herculean task. We plan to solve this problem in this paper and tool. AK Miner is an online data mining tool that is easily accessible by anyone with a computer. The one of the advantages of AK Miner over the already preexisting Data mining Tools is that it is not a single step producer for the output, allowing students and industry-grade scientists to understand how the final output is achieved. A visual representation of the output makes it easier to understand the system. There are five types of algorithms present, namely, DBScan, K Means, FP Growth, Apriori, and K Nearest Neighbour. Basically the user can choose which of these algorithms are required to be used to provide the requested output. KeywordsApriori algorithm, Frequent Patterns, K Means Algorithm, K nearest neighbor algorithm, data mining, mining
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