CiteSeerX — Table search results — specific data-mining technique

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Table 2: Modeling Objectives and Data Mining Techniques

in F.: Offline Network Intrusion Detection: Mining TCPDUMP Data to Identify Suspicious Activity

by Kristin R. Nauta, Frank Lieble 1999

"... In PAGE 4: ... Unsupervised learning methods while more frequently used in cases where a target field does not exist, can be deployed on data for which a target field exists. Table2 breaks down data mining techniques by... ..."

Cited by 1

TABLE IX SELECTION OF SUITABLE DATA MINING TECHNIQUE

in Survey of Data Mining Approaches to User Modeling for Adaptive Hypermedia

by Enrique Frias-Martinez, Sherry Y. Chen, Xiaohui Liu

Table 1 List of data mining applications in IDS

in of

by Daejoon Joo A, Taeho Hong B, Ingoo Han C

"... In PAGE 2: ... Data gathered by sensors are evaluated by a detector using a detection technique. Table1 shows the studies of data mining applications for IDS. D.... ..."

Table 4.1: Summarization of appropriate data mining techniques of each data mining method

in Type of Document: Thesis Title: Data Mining As A Financial Auditing Tool

by Supatcharee Sirikulvadhana 2002

Table 4: Some results of applying data mining techniques on maintenance data of air handling units Data Mining

in Using data mining on building maintenance during the

by Rabee M. Reffat, John S. Gero, Wei Peng

Table 5: Some results of applying data mining techniques on maintenance data of thermostatic mixing valves Data Mining

in Using data mining on building maintenance during the

by Rabee M. Reffat, John S. Gero, Wei Peng

Table IV: Summary of data mining techniques for network intrusion detection.

in Data Mining Methods for Network Intrusion Detection

by S Terry Brugger 2004

Cited by 5

Table 1 Research phases and features of DNA sequence data mining technique

in unknown title

by unknown authors

Table 6 The performances of data mining techniques (232 cases)

in data

by Myoung-jong Kim, Ingoo Han

Table 1: A generic time series data mining approach

in Experiencing SAX: a Novel Symbolic Representation of Time Series

by Jessica Lin, Li Wei, et al. 2007

"... In PAGE 4: ... Each can be visualized as an attempt to approximate the signal with a linear combination of basis functions While there are literally hundreds of papers on discretizing (symbolizing, tokenizing, quantizing) time series [3, 27] (see [15] for an extensive survey), none of the techniques allows a distance measure that lower bounds a distance measure defined on the original time series. For this reason, the generic time series data mining approach illustrated in Table1 is of little utility, since the approximate solution to problem created in main memory may be arbitrarily dissimilar to the true solution that would have been obtained on the original data. If, however, one had a symbolic approach that allowed lower bounding of the true distance, one could take advantage of the generic time series data mining model, and of a host of other algorithms, definitions and data structures which are only defined for discrete data, including hashing, Markov models, and suffix trees.... ..."