A predictive analytics tool that uses k-means cluster analysis. Clustering identifies groups of similar data values in large segments stored in a big data repository.
A data analysis task that iterates estimating of values assigned to common data attributes. Common attributes identify groups of similar items, called clusters. Comparing clusters highlights similar and different groups in big data.
1 A named field in a database table or query. For each data row, the column can have a different value, called thecolumn value. The term column refers to the definition of the column, not to any particular value.
2 A vertical sequence of cells in a crosstab, grid element, or table element.
A column-oriented DBMS is a database management system (DBMS) that stores data tables as sections of columns of data rather than as rows of data. A column-oriented DBMS serializes all of the values of a column together, then the values of the next column, and so on.
An expression used to identify an association rule. Confidence compares how often the consequent appears when the antecedent is met. The confidence expression has the following syntax:
Confidence (A,B-> C) = Support (A,B,C)/Support (A,B)
Terms representing the left‑hand, or …Then clause of an association rule. The consequent clause of an association rule contains items found in combination with items in the antecedent.
A BIRT Analytics option that displays results from one data analysis using a different type of data analysis. For example, an analysis created using Crosstab converts to a Bubble, Evolution, or Map analysis.
A data visualization gadget that displays numeric values and boundaries in ranges. A Cylinder displays defined data measures as colored slices that comprise one cylinder shape.