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   Online Data Mining


Umang Kumar

Student , MVSIT

These days, in many fields of industries and studies, data mining tools extract information from a variety of databases. Developing such a data mining tool is a nontrivial task, due to selections required from a variety of available algorithms, professionally. In this paper, Online Interactive and Incremental Data Mining tool (OIIDM) is presented. This tool provides a variety of data mining engagements like clustering, association mining, and many more. These tasks are achieved through interacting with the user to provide the satisfaction of performed task. OIIDM helps the user at a time to get the most-correct data mining algo among the available algo presented at the time of analysis of algorithm root on the input data by Considered algorithmic parameter. This tool supports the gradational approach of data mining to the user as graditional data is a major bug, error, or issue in data mining.

In the study of history, it is observed that humans are maintaining records for various purposes but the storing style is very different from generation to generation and, with this tradition the recent development in the database method and techniques and the data gathering techniques from the many data sources such as a:- social networking, remote sensing, business data generated and;

huge amount of data. This data can be a collection of text or multimedia posted by various users from the social media networking sites and in the case of a relational database- the data can be stored in records about the student and the employees in tables or metadata of database, for business firms or retail shops data can be a connection between the many products and their marketing, periodically added to the write-down of the network traffic can be the data, it can be the image is clicked by the geo-satellite such an enormous data can be transmitted into the relevant info. knowledge which will be used further for different kinds of motives or purposes. This type of extraction of information from the huge amount of dataset is known as “data mining”.

While performing data mining various technologies of data mining need to be considered. Those are machine learning, database systems, data visualization & statics, information theory. The following issues need to be carefully handled to perform data mining tasks effectively and efficiently.

OIIDM is “one of its kind” in an effectual collection of various data mining tools. Such a collection “under one roof” was very essential to various categories of users including laymen, students, professionals, decision authorities, to name a few. OIIDM provides a platform for all types of data mining researchers, not only to decide which is the most suitable algorithm for their data but also to validate results given by their manual implementations or by other tools. The user achieves the most optimal and desired result without implementing a single line of code. The user only needs to answer the required expert system queries. where various tools are available in the market, though this tool is available the main intention behind the tool is to provide a powerful tool that allows users to apply different data mining techniques on target data as well as keep working until the user is satisfied and many more ETC.

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