Showing posts with label mining. Show all posts
Showing posts with label mining. Show all posts

Wednesday, November 3, 2010

Knowledge Discovery and Data Mining: Challenges and Realities

Knowledge Discovery and Data Mining: Challenges and Realities Review


See more picture


Knowledge Discovery and Data Mining: Challenges and Realities Feature

Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This Premier Reference Source presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying, low-quality data. International experts in the field of data mining have contributed all-inclusive chapters focusing on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing.


Check price now


Rerate Products


Customer Review

Friday, August 27, 2010

Exploratory Data Mining and Data Cleaning

Exploratory Data Mining and Data Cleaning Review


See more picture


Exploratory Data Mining and Data Cleaning Feature

  • Written for practitioners of data mining, data cleaning and database management.
  • Presents a technical treatment of data quality including process, metrics, tools and algorithms.
  • Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of domain knowledge.
  • Addresses methods of detecting, quantifying and correcting data quality issues that can have a significant impact on findings and decisions, using commercially available tools as well as new algorithmic approaches.
  • Uses case studies to illustrate applications in real life scenarios.
  • Highlights new approaches and methodologies, such as the DataSphere space partitioning and summary based analysis techniques.

Exploratory Data Mining and Data Cleaning will serve as an important reference for serious data analysts who need to analyze large amounts of unfamiliar data, managers of operations databases, and students in undergraduate or graduate level courses dealing with large scale data analys is and data mining.


Check price now


Rerate Products


Customer Review