MOTC: an aid to multidimensional hypothesis generation

Balachandran, Krishnamohan; Buzydlowski, Jan W.; Dworman, Garett; Kimbrough, Steven O.; Rosengarten, E.; Shafer, Tate; Vachula, William J.

doi:10.1109/hicss.1998.654759

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…Other methods have been conceived and implemented (e.g., Balachandran et al, 1999). Still others will surely be invented.…”

Section: Resultsmentioning

confidence: 97%

“…[Space limitations prevent us from providing a more complete account, but the idea is a standard one, and there is much available written on it. See, e.g., for additional details Balachandran, Buzydlowski, Dworman, Kimbrough, Shafer, & Vachula, 1999;Codd, Codd, & Salley, 1993;Dhar & Stein, 1997;Hildebrand, Laing, & Rosenthal, 1977). Microsoft Excel's "pivot tables" are an example of cross tabulation.…”

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confidence: 98%

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On pattern-directed search of archives and collections

Dworman

Kimbrough

Patch

2000

J. Am. Soc. Inf. Sci.

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“…Other methods have been conceived and implemented (e.g., Balachandran et al, 1999). Still others will surely be invented.…”

Section: Resultsmentioning

confidence: 97%

mentioning

confidence: 98%

On pattern-directed search of archives and collections

Dworman

Kimbrough

Patch

2000

J. Am. Soc. Inf. Sci.

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“…Homer, with its use of the L matrices, represents just one way in which automatic indexing may be exploited for purposes of pattern-oriented queries in collections of text. Other methods have been conceived and implemented (e.g., Balachandran et al, 1999). Still others will surely be invented.…”

Section: Resultsmentioning

confidence: 99%

“…(Space limitations prevent us from providing a more complete account, but the idea is a standard one and there is much available written on it. See, e.g., for additional details Balachandran et al, 1999;Codd et al, 1993;Dhar & Stein, 1997; and Hildebrand et al Also, in Microsoft's Excel spreadsheet product, there is useful online help available. Search on "pivot table.…”

Section: Figure 2: Cross Tabulation Of Wind and Visibility Informatiomentioning

confidence: 99%

On pattern-directed search of archives and collections

Dworman¹,

Kimbrough²,

Patch³

2000

J. Am. Soc. Inf. Sci.

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This article begins by presenting and discussing the distinction between record-oriented and pattern-oriented search. Examples of record-oriented (or item-oriented) questions include: "What (or how many, etc.) glass items made prior to 100 A.D. do we have in our collection?" and "How many paintings featuring dogs do we have that were painted during the 19th century, and who painted them?" Standard database systems are well suited to answering such questions, based on the data in, for example, a collections management system. Examples of pattern-oriented questions include: "How does the (apparent) production of glass objects vary over time between 400 B.C. and 100 A.D.?" and "What other animals are present in paintings with dogs (painted during the 19th century and in our collection)?" Standard database systems are not well suited to answering these sorts of questions (and pattern-oriented questions in general), even though the basic data is properly stored in them. To answer pattern-oriented questions it is the accepted solution to transform the underlying (relational) data to what is called the data cube or cross tabulation form (there are other forms as well). We discuss how this can be done for non-numeric data, such as are found widely in museum collections and archives. Further we discuss and demonstrate two distinct, but related, approaches to exploring for patterns in such cross tabulated museum data. The two approaches have been implemented as the prototype systems Homer and MOTC. We conclude by discussing initial experimental evidence indicating that these approaches are indeed effective in helping people find answers to their pattern-oriented questions of museum and archive collections. Disciplines

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“…One more technique is worth noting. Inselberg's parallel coordinates system [Inselberg, 1985, Inselberg and Dimsdale, 1989, Jones, 1995 represents variables as vertical bars, and database records as "polylines" which connect each of the variables' vertical bars. Where a polyline crosses a variable's vertical bar represents that polyline's record's value for the variable.…”

Section: Effectively Display a Large Number Of Variablesmentioning

confidence: 99%

MOTC with Examples: An Interactive Aid for Multidimensional Hypothesis Generation

Balachandran

Buzydlowski²,

Dworman³

et al. 2000

CAIS

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This paper reports on conceptual development in the areas of database mining, and knowledge discovery in databases (KDD). Our efforts have also led to a prototype implementation, called MOTC, for exploring hypothesis space in large and complex data sets. Our KDD conceptual development rests on two main principles. First, we use the crosstab representation for working with qualitative data. This is by now standard practice in OLAP (on-line analytical processing) applications and we reaffirm it with additional reasons. Second, and innovatively, we use Prediction Analysis as a measure of goodness for hypotheses. Prediction Analysis is an established statistical technique for analysis of associations among qualitative variables. It generalizes and subsumes a large number of other such measures of association, depending upon specific assumptions the user is willing to make. As such, it provides a very useful framework for exploring hypothesis space in a KDD context. The paper illustrates these points with an extensive discussion of MOTC.

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MOTC: an aid to multidimensional hypothesis generation

Cited by 3 publications

References 9 publications

On pattern-directed search of archives and collections

On pattern-directed search of archives and collections

On pattern-directed search of archives and collections

MOTC with Examples: An Interactive Aid for Multidimensional Hypothesis Generation

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