Data reorganization

Data reorganization contains operations, with which a data can be arranged into a new format. They do not really create new data, but only reorganize the original data. There are three major cases:

• Operations for arranging information in data frames
• Operations for arranging information in classified data frames
• Operations for arranging information in data frames related to classified data frames

• Transposing a data frame
• Joining data frames
• Indexing through a joining operation
• Finding unique data records
• Finding unique indexes from classes
• Finding the indexes of a classified data from another classified data
• Merging a grouping and a classified data
• Set-relational operations for classes
• Convert a classification into a field
• Converting SOM classification to location codes
• Combining classifications
• Converting sum values into propabilities
• Binarizing a classification to data fields
• Picking data records based on a classified data
• Sorting a data frame
• Classifying a data frame with a BMU classifier
• Classifying data records to sequences
• Concatenating sequences
• Overlapping sequential data sets
• Compacting self-similar data
• Changing field types