MITS5509 Intelligent Systems for Analytics Assignment 1 and 2 Presentation and Research Report MITS5509 Assignment 1 and 2 Copyright © XXXXXXXXXXVIT, All Rights Reserved. 2 NOTE: This Document is used...

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Answer To: MITS5509 Intelligent Systems for Analytics Assignment 1 and 2 Presentation and Research Report...

Vignesh answered on Apr 16 2021
158 Votes
DATA MINING WITH INTELLIGENT SYSTEMS
INTRODUCTION
Due to the development of the technology more data has been generated so they should be stored and manipulated for proceeding further process. Here data mining concepts are used for extracting the data and patterns from vast data. This process is known as data analysis
or pattern analysis.
We all know that data is the new oil in this era. There are petabytes of data moving from one place to another place in the world. It has become a place for one demand access. The data can be moved from all over the globe. This is very useful for small scale industries to large companies. Entire industries that are in the 20th century are based on data and the computer. These computers are involved in generating the data or processing the data or predicting and analysis of future work (Madni, Anwar and Shah 2017).
figure 1. Data mining process
Data mining is used to perform the logical process to get useful data. The motive of data mining is to identify the patterns. After identifying the pattern it is used for making a decision and developing the business. To perform the identification of pattern, Exploration, pattern identification and deploying the exploration steps are carried out. In exploration, the data will be cleaned and converted into the other form and its nature will be identified. In pattern identification, the data will be refined and identify the pattern. In deployment, the identified pattern will be deployed to achieve the desired output. Techniques and algorithms such as classification, regression, clustering, artificial intelligence are used to perform the pattern analysis (Liao, Chu and Hsiao 2012).
Data mining places a key part in storing and processing the data because numerous numbers od data types have been generated through different kinds of applications. These data might be structured, semi-structured or unstructured to find the data or the result. This data is very difficult and it will be impossible for a human to sit and work out all the combinations. Also, the result will not be accurate because data keeps on changing if we develop an application that generates dynamic data. It will be hard for the application or the server to respond to the client's request. Thus building an intelligent system might useful for people to solve the problems which are created by the people. An intelligent system is built for a specific problem in real-time applications. For achieving efficiency we are using the techniques, tools, process and application in data mining to make the system intelligence.
There are many methods of classification and prediction, so handling a large amount of data will be difficult to handle . some of the cases where we can gather a large amount of data but the training of the data is limited because the tool or the application is not programmed to process the data or accept the data which are apart from the programmed data types . While constructing the model we should consider the most accurate classifier so make the model more universal. The do so we can use some of the computing power with the help of machine learning and Artificial intelligence and other data mining techniques...
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