Assignment -2 Updated.docx - CS429-DataMining Fall 2019 Assignment 2 Due Date 17-Sep-2019(5:00pm Assignment Submission Submission will only be on slate

Assignment -2 Updated.docx - CS429-DataMining Fall 2019...

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CS429-DataMining Fall 2019 Assignment 2 Due Date: 17-Sep-2019 (5:00pm) Assignment Submission Submission will only be on slate Update this document with your answers and submit it as required. Roll No: ____17i-0090 ______________________ Section: ____B ______________________ Name: _______Hassaan Habib _____________________ Guidelines a) A single violation of guideline will lead to Zero mark in your assignment. b) Submit soft copy of Assignment on Slate. c) Deadlines should be kept in mind from now on there would be no extension in assignment dates. d) This is an individual assignment. PLAGARISM IS NOT ACCEPTABLE! e) Follow the instructions as it is otherwise your assignment would not be accepted at all. Question: Summarize the attached research papers in your own words. Summaries of each paper should not be exceed and less than two pages. Papers are attached. Page 1 of 6
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Summary of paper 1: Collection Methods and Data Pre-processing Techniques for Healthcare Data Using Data Mining by Uma K, Abstract —KDD helps organizations and researchers turn their data collection into valuable information. In this paper firstly he describes the importance of data preprocessing and some of data preprocessing methods like data Cleaning- Handling Noisy, inconsistency data and missing value in heart disease database, data Integration- combining the data from multiple sources such as physician notes. Data transformation consolidation of multiple data formats into a single standard format. Data Reduction- Transformation of masses of data into a small number of summarized reports. Then KDD concept is discussed in this paper that is iterative and interactive method consisting of nine steps here some points of this concept: First one data understanding with application domain is the primary preparatory step. It prepares the picture for understanding of data. Second is selecting and creating dataset is after defining the KDD objectives, the data will be used for the knowledge discovery should be identified. Third one is Preprocessing and cleaning: In this stage, data reliability is enhanced. It includes data clearing, such as handling missing and inconsistence values, and removal of noisy data or outliers. Fourth is data transformation in this stage, the generation of better data for the data mining is outfitted and developed and Data Mining Task selection, Choosing the Data Mining algorithm, Employing the Data Mining algorithm like algorithms. Then explained the collection of data Healthcare methods that are process of gathering and determining in formation on targeted variable is created methodical way, which then assists one to answer the relevant answer and evaluate the outcomes. Data can be collected in two data sources, which are categorized as primary data sources and secondary data sources. Examples- Research articles, Internet and library. Then explained the data Healthcare preprocessing that is set of techniques used prior to the application of a data mining method is named as data pre-processing for data mining and it is known to be one of the most meaningful issues within the famous Knowledge Discovery from Data process. In data preprocessing there are 1. multiple Imputation
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  • Spring '20
  • Data Mining, data pre-processing techniques, Healthcare Data Using Data Mining

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