Über die historische Entwicklung der Datenspeichertechnik auf Magnetband/ On the history of digital data storage on magnetic tape

1985 ◽  
Vol 27 (1-6) ◽  
Author(s):  
E. Rasek
Keyword(s):  
Data Storage ◽  
Magnetic Tape ◽  
Digital Data ◽  
Historische Entwicklung ◽  
History Of ◽  
Digital Data Storage

New Trends in Digital Data Storage for the Internet of Things

2018 ◽  
Vol 6 (3) ◽  
pp. 359-363
Author(s):  
A. Saxena ◽  
◽  
S. Sharma ◽  
S. Dangi ◽  
A. Sharma ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Digital Data ◽  
The Internet ◽  
Digital Data Storage ◽  
The Internet Of Things

Analog and digital data storage in a phase-coded holographic memory

1998 ◽  
Author(s):  
Kai-Oliver Mueller ◽  
Cornelia Denz ◽  
Torsten Rauch ◽  
Thorsten Heimann ◽  
J. Trumpfheller ◽  
...  
Keyword(s):  
Data Storage ◽  
Digital Data ◽  
Holographic Memory ◽  
Digital Data Storage

Instance Selection

2011 ◽  
pp. 1041-1045
Author(s):  
Huan Liu
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Data Reduction ◽  
Effective Means ◽  
Digital Data ◽  
Data Selection ◽  
Instance Selection ◽  
Redundant Data ◽  
Performance Deterioration ◽  
Digital Data Storage

The amounts of data become increasingly large in recent years as the capacity of digital data storage worldwide has significantly increased. As the size of data grows, the demand for data reduction increases for effective data mining. Instance selection is one of the effective means to data reduction. This article introduces basic concepts of instance selection, its context, necessity and functionality. It briefly reviews the state-of-the-art methods for instance selection. Selection is a necessity in the world surrounding us. It stems from the sheer fact of limited resources. No exception for data mining. Many factors give rise to data selection: data is not purely collected for data mining or for one particular application; there are missing data, redundant data, and errors during collection and storage; and data can be too overwhelming to handle. Instance selection is one effective approach to data selection. It is a process of choosing a subset of data to achieve the original purpose of a data mining application. The ideal outcome of instance selection is a model independent, minimum sample of data that can accomplish tasks with little or no performance deterioration.

Multitrack Digital Data Storage: A Reduced Complexity Architecture

2007 ◽  
Vol 43 (3) ◽  
pp. 1101-1111 ◽  
Author(s):  
Sebastien Tosi ◽  
Martin Power ◽  
Thomas Conway
Keyword(s):  
Data Storage ◽  
Digital Data ◽  
Reduced Complexity ◽  
Digital Data Storage

Design of the Tracking Controller for Holographic Digital Data Storage

2010 ◽  
Vol 15 (2) ◽  
pp. 242-252 ◽  
Author(s):  
Choong Woo Lee ◽  
Bong Sik Kwak ◽  
Chung Choo Chung ◽  
M. Tomizuka
Keyword(s):  
Data Storage ◽  
Digital Data ◽  
Tracking Controller ◽  
Digital Data Storage

scholarly journals Ten Simple Rules for Digital Data Storage

2016 ◽  
Vol 12 (10) ◽  
pp. e1005097 ◽  
Author(s):  
Edmund M. Hart ◽  
Pauline Barmby ◽  
David LeBauer ◽  
François Michonneau ◽  
Sarah Mount ◽  
...  
Keyword(s):  
Data Storage ◽  
Digital Data ◽  
Simple Rules ◽  
Digital Data Storage
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