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Multi-Dimensional Regression Analysis of Time-Series Data Streams (2002)  (Make Corrections)  (31 citations)
Yixin Chen, Guozhu Dong, Jiawei Han, Benjamin W. Wah, Jianyong Wang



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Abstract: Real-time production systems and other dynamic environments often generate tremendous (potentially infinite) amount of stream data; the volume of data is too huge to be stored on disks or scanned multiple times. Can we perform on-line, multi-dimensional analysis and data mining of such data to alert people about dramatic changes of situations and to initiate timely, high-quality responses? This is a challenging task. (Update)

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2.0:   Multi-Dimensional Regression Analysis of Time-Series Data.. - Chen, Dong, Han, Wah, Wang (2002)   (Correct)
1.2:   Online Analytical Processing Stream Data: Is It Feasible? - Chen, Dong, Han, Pe, Wah..   (Correct)
0.2:   Mining Multi-Dimensional Constrained Gradients in Datacubes - Dong, Han, Lam, Pei, Wang (2001)   (Correct)

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13:   Models and Issues in Data Stream Systems (context) - Babcock, Babu et al. - 2002
13:   Clustering data streams - Guha, Mishra et al. - 2000
9:   Surfing wavelets on streams: one-pass summaries for approximate aggregate querie.. - Gilbert, Kotidis et al. - 2001

BibTeX entry:   (Update)

Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang. Multidimensional regression analysis of time-series data streams. In VLDB Conference, 2002. http://citeseer.ist.psu.edu/chen02multidimensional.html   More

@misc{ chen02multidimensional,
  author = "Y. Chen and G. Dong and J. Han and B. Wah and J. Wang",
  title = "Multidimensional regression analysis of time-series data streams",
  text = "Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang. Multidimensional regression
    analysis of time-series data streams. In VLDB Conference, 2002.",
  year = "2002",
  url = "citeseer.ist.psu.edu/chen02multidimensional.html" }
Citations (may not include all citations):
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340   Mining sequential pat- terns - Agrawal, Srikant
249   An overview of data warehousing and OLAP technology (context) - Chaudhuri, Dayal - 1997
248   Implementing data cubes efficiently - Harinarayan, Rajaraman et al.
241   Fast subsequence matching in time-series databases - Faloutsos, Ranganathan et al.
185   the computation of multidimensional aggregates - Agarwal, Agrawal et al.
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109   An array-based algorithm for simultaneous multidimensional a.. - Zhao, Deshpande et al.
90   Clustering data streams - Guha, Mishra et al.
82   Continuous queries over data streams (context) - Babu, Widom - 2001
78   Querying shapes of histories - Agrawal, Psaila et al.
77   Bottom-up computation of sparse and iceberg cubes - Beyer, Ramakrishnan
71   Analysis of Longi- tudinal Data (context) - Diggle, Liang et al. - 1994
53   Mining time- changing data streams - Hulten, Spencer et al.
52   Surfing wavelets on streams: One-pass summaries for approxim.. - Gilbert, Kotidis et al.
32   Discovery- driven exploration of OLAP data cubes - Sarawagi, Agrawal et al.
28   Efficient mining of partial periodic patterns in time series.. - Han, Dong et al.
24   Variable length queries for time series data - Kahveci, Singh
20   Identifying representative trends in massive time series dat.. (context) - Indyk, Koudas et al.
19   Scaling up dynamic time warping to massive dataset - Keogh, Pazzani
17   Efficient computation of iceberg cubes with complex measures - Han, Pei et al.
13   Cubegrades: Generalizing association rules - Imielinski, Khachiyan et al. - 2000
7   On computing correlated aggregates over continuous data stre.. (context) - Gehrke, Korn et al.
6   Intelligent rollups in mul- tidimensional OLAP data - Sathe, Sarawagi
5   Duality- based subsequence matching in time-series databases (context) - Moon, Whang et al.
4   Applied Regression Includ- ing Computing and Graphics (context) - Cook, Weisberg - 1999
3   Min- ing multi-dimensional constrained gradients in data cub.. - Dong, Hah et al.
1   Space-efficient online computation of quantfie summaries (context) - Greenwald, Khanna



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