Spatio-temporal association rule mining framework for real-time sensor network applications

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 1761-1764

  Chok, Hamed ^a   Gruenwald, Le ^a  

^a University of Oklahoma   (United States)

Author keywords

Data estimation; Sensor databases; Spatio temporal data mining

Indexed keywords

BOUNDED ESTIMATION ERROR; CORRUPTED DATA; DATA ESTIMATION; ENVIRONMENTAL RULES; MULTIDIMENSIONALITY; REAL-TIME SENSOR NETWORKS; RELATIONAL DATA STREAMS; SENSOR DATA; SENSOR DATABASE; SENSOR NETWORK APPLICATIONS; SIMULATION EXPERIMENTS; SPATIAL FACTORS; SPATIO-TEMPORAL; SPATIO-TEMPORAL DATA MINING; SPATIOTEMPORAL ANALYSIS; SPATIOTEMPORAL CORRELATION; TIME AND SPACE;

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; DATA COMMUNICATION SYSTEMS; ESTIMATION; KNOWLEDGE MANAGEMENT; SENSOR NETWORKS;

DATA MINING;

EID: 74549138226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646224     Document Type: Conference Paper

References (12)

1. NASA/JPL Sensor Webs Project, http://caupanga.huntington.org/swim/.
2. L. Gruenwald, H. Chok, M. Aboukhamis, Using Data Mining to Estimate Missing Sensor Data. 7th IEEE ICDM Workshop on Data Mining, Oct. 2007, pp 207-212.
3. Mihail Halatchev, Le Gruenwald; Estimating Missing Values in Related Sensor Data Streams; Int'l Conf. on Management of Data; January 2005.
4. S. Papadimitriou, J. Sun, C. Faloutsos. Streaming Pattern Discovery in Multiple Time-Series. 31st int'l conf. on VLDB 2005, pp. 697-708.
5. S. R. Madden, M. J. Franklin, J. M. Hellerstein, W. hong. TinyDB: An Acquisitional Query Processing System for Sensor Networks. ACM Transactions on Database Systems, Vol. 30, No. 1, 2005, pp. 122-173.
6. C. Giannella, J. Han, J. Pei, X. Yan, and P. Yu. in H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.). Mining Frequent Patterns in Data Streams at Multiple Time Granularities. Next Generation Data Mining, AAAI/MIT, 2003.
7. R. Agrawal; T. Imielinski; A. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conf. 1993, pp. 207-216.
8. H. Chok. "Spatio-Temporal Association Rule Mining Framework for Estimating Missing Data in Sensor Networks and Analyzing Trend Evolution of Co-evolving Multi-Dimensional Data Streams". Master's thesis, the University of Oklahoma, 2009.
9. th Int'l Database Engineering & Application Symposium, September 16-18, 2009.
10. L. Cohen, G. Avrahami-Bakish, M. Last, A. Kandel, O. Kipersztok. Real-time Data Mining of Non-stationary Data Streams from Sensor Networks. Information Fusion, v 9, n 3, July, 2008, pp 344-353.
11. B. Saha, M. Lazarescu, S. Venkatesh. Infrequent Item Mining in Multiple Data Streams. 7th IEEE Conf. on Data Mining Workshops, 2008, pp. 569-574.
12. W. P. Elderton, N. L. Johnson. "Systems of Frequency Curves". Cambridge University Press, 1969.