Uncertainty Handling and Quality Assessment in Data Mining Book [PDF] Download

Download the fantastic book titled Uncertainty Handling and Quality Assessment in Data Mining written by Michalis Vazirgiannis, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Uncertainty Handling and Quality Assessment in Data Mining", which was released on 06 December 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Uncertainty Handling and Quality Assessment in Data Mining by Michalis Vazirgiannis PDF

The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques.


Detail About Uncertainty Handling and Quality Assessment in Data Mining PDF

  • Author : Michalis Vazirgiannis
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 231 pages
  • ISBN : 144710031X
  • PDF File Size : 9,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Uncertainty Handling and Quality Assessment in Data Mining

Uncertainty Handling and Quality Assessment in Data Mining
  • Publisher : Springer Science & Business Media
  • File Size : 45,7 Mb
  • Release Date : 06 December 2012
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The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the

Managing and Mining Uncertain Data

Managing and Mining Uncertain Data
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  • File Size : 28,8 Mb
  • Release Date : 08 July 2010
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Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in

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Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS)

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This book constitutes the proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics 2010, held in Hyderabad, India, in June 2010.

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Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to

Managing and Mining Uncertain Data

Managing and Mining Uncertain Data
  • Publisher : Springer
  • File Size : 20,9 Mb
  • Release Date : 08 July 2010
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Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in