A Survey on Preparing Data Sets for Data Mining Analysis using Horizontal Aggregations in SQL

2017 ◽  
Vol 7 (5) ◽  
pp. 172-176
Author(s):  
Prashant B. Rajole ◽  
Keyword(s):  
Data Mining ◽  
Data Sets ◽  
Data Mining Analysis

Preparing Data Sets by Using Horizontal Aggregations in SQL for Data Mining Analysis

2015 ◽  
Vol 4 (4) ◽  
pp. 33-41
Author(s):  
K. Sentamilselvan ◽  
◽  
S.Vinoth Kumar ◽  
A. Jeevanantham ◽  
◽  
...  
Keyword(s):  
Data Mining ◽  
Data Sets ◽  
Data Mining Analysis

RATA.Gesture: A gesture recognizer developed using data mining

2012 ◽  
Vol 26 (3) ◽  
pp. 351-366 ◽  
Author(s):  
Samuel Hsiao-Heng Chang ◽  
Rachel Blagojevic ◽  
Beryl Plimmer
Keyword(s):  
Data Mining ◽  
Systematic Approach ◽  
The Other ◽  
Data Sets ◽  
Data Set ◽  
Wide Range ◽  
Digital Ink ◽  
Using Data ◽  
Data Mining Analysis

AbstractAlthough many approaches to digital ink recognition have been proposed, most lack the flexibility and adaptability to provide acceptable recognition rates across a variety of problem spaces. This project uses a systematic approach of data mining analysis to build a gesture recognizer for sketched diagrams. A wide range of algorithms was tested, and those with the best performance were chosen for further tuning and analysis. Our resulting recognizer, RATA.Gesture, is an ensemble of four algorithms. We evaluated it against four popular gesture recognizers with three data sets; one of our own and two from other projects. Except for recognizer–data set pairs (e.g., PaleoSketch recognizer and PaleoSketch data set) the results show that it outperforms the other recognizers. This demonstrates the potential of this approach to produce flexible and accurate recognizers.

scholarly journals Understanding Power System Behavior through Mining Archived Operational Data

2009 ◽  
Vol 10 (1) ◽  
Author(s):  
Sarasij Das ◽  
Nagendra Rao P S
Keyword(s):  
Data Mining ◽  
Power System ◽  
System Level ◽  
Data Sets ◽  
Total System ◽  
System Behavior ◽  
Average System ◽  
Recorded Data ◽  
Operational Data ◽  
Southern Regional

This paper is the outcome of an attempt in mining recorded power system operational data in order to get new insight to practical power system behavior. Data mining, in general, is essentially finding new relations between data sets by analyzing well known or recorded data. In this effort we make use of the recorded data of the Southern regional grid of India. Some interesting relations at the total system level between frequency, total MW/MVAr generation, and average system voltage have been obtained. The aim of this work is to highlight the potential of data mining for power system applications and also some of the concerns that need to be addressed to make such efforts more useful.

Sign in / Sign up

Export Citation Format

Share Document