Practical methods for data mining with massive data sets
The increasing size of data sets has necessitated advancement in exploratory techniques. Methods that are practical for moderate to small data sets become infeasible when applied to massive data sets. Advanced techniques such as binned kernel density estimation, tours, and mode-based projection purs...
Main Author: | Salch, John David |
---|---|
Other Authors: | Scott, David W. |
Format: | Others |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://hdl.handle.net/1911/19307 |
Similar Items
-
Locally-adaptive polynomial-smoothed histograms with application to massive and pre-binned data sets
by: Papkov, Galen I.
Published: (2009) -
Practical methods for analysing dependent survival data
by: Newell, John
Published: (1999) -
Data mining techniques for constructing jury selection models
by: Espy, John
Published: (2014) -
Implicit methods for iterative estimation with large data sets
by: Toulis, Panagiotis
Published: (2017) - Individual Patient-Level Data Meta-Analysis: A Comparison of Methods for the Diverse Populations Collaboration Data Set