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{ "item_title" : "Assessment of Water Quality Using Data Mining Techniques", "item_author" : [" Kamakshaiah Kolli "], "item_description" : "Data Mining is the procedure of dissecting Data from alternate points of view and compressing it into helpful data keeping in mind the end goal to build income, basic leadership capacities and to diminish cost. It examinations Data in various measurements and distinguishes the relationship among Data. To start with, we should know the distinction amongst Data. Data is a truth, number or content that can be prepared by a PC. Associations create tremendous measure of Data in various organizations and store them in various databases. Data can be named as follows: Operational Data - Sales, Purchase, book keeping and stock Non Operational Data - Forecast Data Meta Data - Data about Data.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/35/988/284/0359882846_b.jpg", "price_data" : { "retail_price" : "10.00", "online_price" : "10.00", "our_price" : "10.00", "club_price" : "10.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Assessment of Water Quality Using Data Mining Techniques|Kamakshaiah Kolli

Assessment of Water Quality Using Data Mining Techniques

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Overview

Data Mining is the procedure of dissecting Data from alternate points of view and compressing it into helpful data keeping in mind the end goal to build income, basic leadership capacities and to diminish cost. It examinations Data in various measurements and distinguishes the relationship among Data. To start with, we should know the distinction amongst Data. Data is a truth, number or content that can be prepared by a PC. Associations create tremendous measure of Data in various organizations and store them in various databases. Data can be named as follows: Operational Data - Sales, Purchase, book keeping and stock Non Operational Data - Forecast Data Meta Data - Data about Data.

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Details

  • ISBN-13: 9780359882847
  • ISBN-10: 0359882846
  • Publisher: Lulu.com
  • Publish Date: September 2019
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.44 pounds
  • Page Count: 128

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