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Intelligent Data Analysis: From Data Gathering to Comprehension

Bag om Intelligent Data Analysis: From Data Gathering to Comprehension

Data analysis refers to the process of cleansing, modeling, inspecting and transforming data in order to identify useful information, derive informed conclusions and assist in decision-making. It has several dimensions and approaches, and is applied in a variety of sectors like social science, business and science. One of the fundamental concerns in information and artificial intelligence is intelligent data analysis (IDA). It reveals previously hidden facts and extracts potentially valuable information or facts from huge amounts of data. It also aids in decision-making. IDA is primarily based on artificial intelligence, records and visualization technology, machine learning and pattern recognition. It also assists in obtaining relevant information, necessary data and models from a large amount of data available online for making the best decisions. There are three steps involved in IDA including data preparation, data mining, and data validation and explanation of data. This book unravels the recent studies on intelligent data analysis. It will help the readers in keeping pace with the rapid changes in this area of study.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781647284428
  • Indbinding:
  • Hardback
  • Sideantal:
  • 253
  • Udgivet:
  • 19. september 2023
  • Størrelse:
  • 178x16x254 mm.
  • Vægt:
  • 658 g.
  • 2-3 uger.
  • 16. december 2024
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Forlænget returret til d. 31. januar 2025

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Beskrivelse af Intelligent Data Analysis: From Data Gathering to Comprehension

Data analysis refers to the process of cleansing, modeling, inspecting and transforming data in order to identify useful information, derive informed conclusions and assist in decision-making. It has several dimensions and approaches, and is applied in a variety of sectors like social science, business and science. One of the fundamental concerns in information and artificial intelligence is intelligent data analysis (IDA). It reveals previously hidden facts and extracts potentially valuable information or facts from huge amounts of data. It also aids in decision-making. IDA is primarily based on artificial intelligence, records and visualization technology, machine learning and pattern recognition. It also assists in obtaining relevant information, necessary data and models from a large amount of data available online for making the best decisions. There are three steps involved in IDA including data preparation, data mining, and data validation and explanation of data. This book unravels the recent studies on intelligent data analysis. It will help the readers in keeping pace with the rapid changes in this area of study.

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