data mining

Jul 5th, 2016
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CMP 627 Data MiningCMP 627 Data MiningWeek 2 Homework Assignment 21CMP 627 Data Mining1. Briefly compare the following concepts. You may use an example to explain yourpoint(s).a) Snowflake schema, fact constellation, starnet query modelb) Data cleaning, data transformation, refreshc) Discovery-driven cube, multifeature cube, virtual warehouseAns. a) The snowflake schema refers to a logical arrangement of tables in a multidimensional database such that an entity relationship diagram is established. The layoutresembles the snowflake shape, and there are centralized fact tables that are able to stem frommultiple dimensions. The fact constellation schema is one that contains multiple fact tablesthat share many dimensional tables. That results from the action of splitting the originalschema such as one from the snowflake schema. The starnet query model is a model whichcombines some schemas, and each radial line is a dimension. The starnet query model helpsin forming clear relationships such as making it easy to query for data.b) Data cleaning refers to the process of detecting, correcting as well as removing corrupt orincorrect data records from a database or a table. That would mean being able to ensure thatthe existing data is free of errors. Data transformation means being able to convert set datavalues from the data format in the in the source system and into the data format in thedestination data system. Refresh means updating the data re

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