Data Cleaning Weka

Data Preprocessing

a. For each field, extract the substring that you want to preserve for analysis, e.g., I

can discard time part in the DATETIME or DATE field to cluster documents by

Dates; similarly, words that may not convey meaningful information and patterns

in the MESSAGE or TEXT field. Likewise, impute the missing values in the fields

using an assumption for function (e.g., average, median), such as LATITUDE.

b. Store the output in a CSV (or JSON) file and load data to weka)

Skills: Data Mining, Data Processing, Java, Python, Software Architecture

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