SMART: Stream Monitoring enterprise Activities by RFID Tags

Information Sciences

Volumn 195, Issue , 2012, Pages 25-44

  Masciari, E ^a  

^a ICAR CNR   (Italy)

Author keywords

Data mining; Data stream; Object tracking; Outlier detection; RFID tag

Indexed keywords

CLICKSTREAMS; DATA SOURCE; DATA STREAM; EFFECTIVE MANAGEMENT; ENTERPRISE MANAGEMENT; HUMAN ACTIVITIES; OBJECT TRACKING; OBJECTS TRACKING; OUTLIER DETECTION; PHYSICAL PHENOMENA; RF-ID TAGS; RFID TAG; RFID TECHNOLOGY; TELEPHONE CALLS; TEMPERATURE LEVEL;

DATA MINING; INDUSTRY; RADIO NAVIGATION; STATISTICS; SUPPLY CHAIN MANAGEMENT; TRACKING (POSITION);

RADIO FREQUENCY IDENTIFICATION (RFID);

EID: 84858451133     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.01.041     Document Type: Article

References (41)

1. C.C. Aggarwal, P. Yu, Outlier detection for high dimensional data, in: Proceedings of the International Conference on Managment of Data (SIGMOD01), 2001, pp. 37-46.
2. S. Alert. available at www.alertsystems.org.
3. F. Angiulli, and F. Fassetti DOLPHIN: an efficient algorithm for mining distance-based outliers in very large datasets TKDD 8 1 2009 1 57
4. F. Angiulli and E. Masciari, Effectively monitoring rfid based systems, in: ADBIS, 2010, pp. 31-45.
5. A. Arning, C. Aggarwal, and P. Raghavan, A linear method for deviation detection in large databases, in: Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, 1996, pp. 164-169.
6. R. Avnur and J.M. Hellerstein, Eddies: Continuously adaptive query processing, in: Proceedings of the ACM SIGMOD international conference on Management of data, Dallas, Texas, USA, 2000, pp. 261-272.
7. B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom, Models and Issues in Data Stream Systems, in: Twenty-first ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems,Madison, Wisconsin, USA, 2002, pp. 1-16. (Pubitemid 35017047)
8. Y. Bai, R.C. Luo, H. Thakkar, H. Wang, and C. Zaniolo, An introduction to the Expressive Stream Language (ESL). Tech. Report.
9. Y. Bai, H. Thakkar, H. Wang, R.C. Luo, and C. Zaniolo, A data stream language and system designed for power and extensibility, in: CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management, 2006, pp. 337-346. (Pubitemid 47203580)
10. V. Barnett, and T. Lewis Outliers in Statistical Data 1994 Wiley and Sons
11. P. Bonnet, J. Gehrke, and P. Seshadri Querying the physical world IEEE Personal Communication 7 2000 10 15 (Pubitemid 32031781)
12. P. Bonnet, J. Gehrke, and P. Seshadri, Towards sensor database systems, in: Proceedings of 2nd Int. Conf. on Mobile Data Management (MDM), Hong Kong, China, 2001, pp. 3-14. (Pubitemid 33213819)
13. M.M. Breunig, H. Kriegel, R. Ng, and J. Sander, Lof: Identifying density-based local outliers, in: Proceedings of the International Conference on Managment of Data (SIGMOD00), 2000, pp. 93-104.
14. R.J.G.B. Campello, and E.R. Hruschka On comparing two sequences of numbers and its applications to clustering analysis Information Sciences 179 8 2009 1025 1039
15. K.Y. Chan, C.K. Kwong, and T.C. Fogarty Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers Information Sciences 180 4 2010 506 518
16. C. Cortes, K. Fisher, D. Pregibon, A. Rogers, and F. Smith, Hancock: A Language for Extracting Signatures from Data Streams, in: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, Massachusetts, United States, 2000, pp. 9-17.
17. S. Flesca, G. Manco, E. Masciari, L. Pontieri, and A. Pugliese Fast detection of xml structural similarity IEEE Transactions on Knowledge and Data Engineering 17 2 2005 160 175 (Pubitemid 40320176)
18. V. Ganti, M. Li Lee, and R. Ramakrishnan, ICICLES: Self-tuning Samples for Approximate Query Answering, in: Proceedings of 26th International Conference on Very Large Data Bases, Cairo, Egypt, 2000, pp. 176-187.
19. J. Gehrke, and S. Madden Query processing in sensor networks IEEE Pervasive Computing 3 1 2004 46 55
20. H. Gonzalez, J. Han, X. Li, and D. Klabjan, Warehousing and Analyzing Massive RFID Data Sets, in: Proc. of the ICDE conference, 2006, pp. 83-93.
21. D. Hawkins Identification of Outliers Monographs on Applied Probability and Statistics 1980 Chapman and Hall
22. M.R. Henzinger, P. Raghavan, and S. Rajagopalan, Computing on data streams. Technical Report 1998-011, Digital Systems Research Center, 1998. Available at http://www.research.digital.com/SRC/.
23. C. Intanagonwiwat, D. Estrin, R. Govindan, and J.S. Heidemann, Impact of network density on data aggregation in wireless sensor networks, in: 22nd Int. Conf. on Distributed Computing Systems (ICDCS), Vienna, Austria, 2002, pp. 457-.
24. E. Keogh, Exact indexing of dynamic time warping, in: VLDB '02. VLDB Endowment, 2002, pp. 406-417.
25. V.M. Kirzhner, S. Frenkel, and A.B. Korol Minimal-dot plot: old tale in new skin about sequence comparison Information Sciences 181 8 2011 1454 1462
26. E. Knorr, R. NG, and V. Tucakov Distance-based outlier: algorithms and applications VLDB Journal 8 3-4 2000 237 253
27. L. Chen, L. Zou, and L. Tu A clustering algorithm for multiple data streams based on spectral component similarity Information Sciences 183 1 2012 35 47
28. C. Lei, M.T. Özsu, and V. Oria Robust and fast similarity search for moving object trajectories SIGMOD '05: Proceedings of the 2005 ACM SIGMOD international conference on Management of data, New York, NY, USA 2005 ACM 491 502 (Pubitemid 43038952)
29. Y. Liu, L. Chen, J. Pei, Q. Chen, and Y. Zhao, Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays, in: PerCom, 2007, pp. 37-46. (Pubitemid 47201929)
30. S. Madden and M.J. Franklin, Fjording the stream: An architecture for queries over streaming sensor data, in: ICDE, 2002, pp. 555-.
31. S. Madden and J.M. Hellerstein, Distributing queries over low-power wireless sensor networks, in: ACM SIGMOD Int. Conf. on Management of Data, Madison (WI), USA, 2002, pp. 622-622.
32. S. Madden, R. Szewczyk, M.J. Franklin, and M.J. Culler, Supporting aggregate queries over ad-hoc wireless sensor networks, in: 4th IEEE Workshop on Mobile Computing Systems and Applications (WMCSA), Callicoon (NY), USA, 2002, pp. 49-58.
33. J. Nin, and V. Torra Towards the evaluation of time series protection methods Information Sciences 179 11 2009 1663 1677
34. A.V. Oppenheim, and R.W. Shafer Discrete-Time Signal Processing 1999 Prentice Hall
35. S. Papadimitriou, S. Kitagawa, P. Gibbons, and C. Faloutsos, Loci: Fast outlier detection using the local correlation integral, in: Proceedings of the International Conference on Data Enginnering (ICDE), 2003, pp. 315-326.
36. B. Porat A Course in Digital Signal Processing 1997 Wiley
37. L. Qiao, D. Agrawal, and A. El Abbadi, Rhist: Adaptive summarization over continuous data streams, in: Proceedings of the eleventh international conference on Information and Knowledge Management, McLean, Virginia, USA, 2002, pp. 469-476.
38. D. West, and S. Dellana Diversity of ability and cognitive style for group decision processes Information Sciences 179 5 2009 542 558
39. Y. Yao and J. Gehrke, Query processing for sensor networks, in: 1st Int. Conf. on Innovative Data Systems Research (CIDR), Asilomar (CA), USA (on line proceedings), 2003.
40. B. Yi, H.V Jagadish, and C. Faloutsos, Efficient retrieval of similar time sequences under time warping, in: Procs. 14th Int. Conf. on Data Engineering (ICDE'98), 1998, pp. 201-208.
41. D. Zhang, D. Gunopulos, V.J. Tsotras, and B. Seeger, Temporal aggregation over data streams using multiple granularities, in: Proceedings of 8th International Conference on Extending Database Technology, Prague, Czech Republic, 2002, pp. 646-663.