Database Reference
In-Depth Information
As a matter of fact, in consideration of various datasets, it is non-trivial, or
impossible, to build a uniform data pre-processing procedure and technology that
is applicable to all types of datasets. on the specific feature, problem, performance
requirements, and other factors of the datasets should be considered, so as to select
a proper data pre-processing strategy.
References
1. James Manyika, McKinsey Global Institute, Michael Chui, Brad Brown, Jacques Bughin,
Richard Dobbs, Charles Roxburgh, and Angela Hung Byers.
Big data: The next frontier for
innovation, competition, and productivity
. McKinsey Global Institute, 2011.
2. John Gantz and David Reinsel. The digital universe decade-are you ready.
External Publication
of IDC (Analyse the Future) Information and Data
, pages 1-16, 2010.
3. Douglas Laney. 3-d data management: Controlling data volume, velocity and variety.
META
Group Research Note, February
, 6, 2001.
4. Kenneth Cukier.
Data, data everywhere: A special report on managing information
. Economist
Newspaper, 2010.
5. Paul Zikopoulos, Chris Eaton, et al.
Understanding big data: Analytics for enterprise class
hadoop and streaming data
. McGraw-Hill Osborne Media, 2011.
6. Randal E Bryant. Data-intensive scalable computing for scientific applications.
Computing in
Science & Engineering
, 13(6):25-33, 2011.
7. Mohd Helmy Abd Wahab, Mohd Norzali Haji Mohd, Hafizul Fahri Hanafi, and Mohamad
Farhan Mohamad Mohsin. Data pre-processing on web server logs for generalized association
rules mining algorithm.
World Academy of Science, Engineering and Technology
, 48:2008,
2008.
8. Alexandros Nanopoulos, Yannis Manolopoulos, Maciej Zakrzewicz, and Tadeusz Morzy.
Indexing web access-logs for pattern queries. In
Proceedings of the 4th international workshop
on Web information and data management
, pages 63-68. ACM, 2002.
9. Karuna P Joshi, Anupam Joshi, and Yelena Yesha. On using a warehouse to analyze web logs.
Distributed and Parallel Databases
, 13(2):161-180, 2003.
10. Vijay Chandramohan and Ken Christensen. A first look at wired sensor networks for video
surveillance systems. In
Local Computer Networks, 2002. Proceedings. LCN 2002. 27th
Annual IEEE Conference on
, pages 728-729. IEEE, 2002.
11. Leo Selavo, Anthony Wood, Qing Cao, Tamim Sookoor, Hengchang Liu, Aravind Srinivasan,
Yafeng Wu, Woochul Kang, John Stankovic, Don Young, et al. Luster: wireless sensor network
for environmental research. In
Proceedings of the 5th international conference on Embedded
networked sensor systems
, pages 103-116. ACM, 2007.
12. Guillermo Barrenetxea, François Ingelrest, Gunnar Schaefer, Martin Vetterli, Olivier Couach,
and Marc Parlange. Sensorscope: Out-of-the-box environmental monitoring. In
Information
Processing in Sensor Networks, 2008. IPSN'08. International Conference on
, pages 332-343.
IEEE, 2008.
13. Younghun Kim, Thomas Schmid, Zainul M Charbiwala, Jonathan Friedman, and Mani B
Srivastava. Nawms: nonintrusive autonomous water monitoring system. In
Proceedings of the
6th ACM conference on Embedded network sensor systems
, pages 309-322. ACM, 2008.
14. Sukun Kim, Shamim Pakzad, David Culler, James Demmel, Gregory Fenves, Steven Glaser,
and Martin Turon. Health monitoring of civil infrastructures using wireless sensor networks. In
Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium
on
, pages 254-263. IEEE, 2007.
15. Matteo Ceriotti, Luca Mottola, Gian Pietro Picco, Amy L Murphy, Stefan Guna, Michele Corra,
Matteo Pozzi, Daniele Zonta, and Paolo Zanon. Monitoring heritage buildings with wireless
Search WWH ::
Custom Search