scholarly journals Rough Logs: A Data Reduction Approach for Log Files

2019 ◽  
Author(s):  
Michael Meinig ◽  
Peter Tröger ◽  
Christoph Meinel
Keyword(s):  
Data Reduction ◽  
Log Files ◽  
Reduction Approach

scholarly journals In-Network Data Reduction Approach Based on Smart Sensing

2016 ◽  
Author(s):  
Alaa Awad ◽  
Amal Saad ◽  
Ali Jaoua ◽  
Amr Mohamed ◽  
Carla-Fabiana Chiasserini
Keyword(s):  
Data Reduction ◽  
Network Data ◽  
Smart Sensing ◽  
Reduction Approach

scholarly journals Error-Controlled Data Reduction Approach for Large-Scale Structured Datasets

2021 ◽  
Vol 33 (12) ◽  
pp. 1795-1802
Author(s):  
Zhiwei Ai ◽  
Juelin Leng ◽  
Fang Xia ◽  
Huawei Wang ◽  
Yi Cao
Keyword(s):  
Data Reduction ◽  
Large Scale ◽  
Reduction Approach

Generalized data reduction approach for aspheric testing in a non-null interferometer

2012 ◽  
Vol 51 (10) ◽  
pp. 1598 ◽  
Author(s):  
Chao Tian ◽  
Yongying Yang ◽  
Yongmo Zhuo
Keyword(s):  
Data Reduction ◽  
Reduction Approach

LOGPAT: A semi-automatic way to analyze hypertext navigation behavior

2003 ◽  
Vol 62 (2) ◽  
pp. 113-120 ◽  
Author(s):  
Tobias Richter ◽  
Johannes Naumann ◽  
Stephan Noller
Keyword(s):  
Data Reduction ◽  
Single Unit ◽  
Pattern Analysis ◽  
Psychological Research ◽  
Minimum Loss ◽  
Web Based ◽  
Graph Theoretic ◽  
Log Files ◽  
Log File ◽  
Source Of Information

In hypertext research, log files represent a useful source of information about users’ navigational behavior. Since log files can contain enormous amounts of data, methods for data reduction with a minimum loss of information are needed. In this paper, LOGPAT (Log file Pattern Analysis) is presented, a Web-based tool for analyzing log files. With LOGPAT, single-unit, sequential, and graph-theoretic measures (including distance matrices) for the description of user navigation can be computed. The paper gives an overview of these methods and discusses their value for psychological research on hypertext. Components and analysis options of LOGPAT are described in detail. The program’s basic options are illustrated by data from a study on learning with hypertext.

A multi-level conceptual data reduction approach based on the Lukasiewicz implication

2004 ◽  
Vol 163 (4) ◽  
pp. 253-262 ◽  
Author(s):  
Samir Elloumi ◽  
Jihad Jaam ◽  
Ahmed Hasnah ◽  
Ali Jaoua ◽  
Ibtissem Nafkha
Keyword(s):  
Data Reduction ◽  
Multi Level ◽  
Conceptual Data ◽  
Reduction Approach

Exploiting the Redundancy in ICESat-2 Geolocated Photon Data (ATL03), a Multiscale Data Reduction Approach

2020 ◽  
Author(s):  
Prashant Shekhar ◽  
Beata Csatho ◽  
Toni Schenk ◽  
Abani Patra
Keyword(s):  
Data Reduction ◽  
Reduction Approach
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