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Data mining In SSAS
1.
Data Mining In SSAS Ram
Kedem
2.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com What is Data Mining ? • the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. • The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.
3.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Data Mining Process • Cross-Industry Standard Process for Data Mining (CRISP-DM) consists of six cyclic phases : • Business Understanding • Data Understanding • Data Preparation • Modeling • Evaluation • Deployment
4.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Data Mining Algorithms Covered In This Lesson • Decision Trees • Clustering • Time Series • Association rules
5.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Decision Trees • Decision Trees • a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs • Very common, used for classification.
6.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Clustering • Clustering • grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters) • Widely used in areas of fraud detection
7.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Data Validation Sample • http://www.sqlserverdatamining.com/ssdm/
8.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Data Validation Sample • http://www.sqlserverdatamining.com/DataValidation/default. aspx
9.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Time Series • Time Series • A time series is a collection of observations made chronologically, Used to predict a number of some sort.
10.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Association rules • Association rules • Association rules are if/then statements that help uncover relationships between seemingly unrelated data in a relational database or other information repository.
11.
Create New Mining Structure
12.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Define your Data Source
13.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Define your DSV
14.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Create new mining structure • Right click on Mining Structures and choose New Mining Structure
15.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Select the Definition Method
16.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Create the Mining Structure
17.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Select Data Source View
18.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Specify Table Types
19.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Specify Training Data
20.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Suggest Related Columns
21.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Columns Content & Data Types
22.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Create Testing Set
23.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Completing the Wizard
24.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com View Mining Model • Deploy and Process the Mining Model. • View the Mining Model in Mining Models Tab
25.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Adding Mining Models • It is possible to add more mining models by right-clicking at the Mining models area and choosing New Mining Model. • Deploy and Process once finished.
26.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Mining Model Viewer
27.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Dependency Network
28.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Mining Accuracy Chart - Input
29.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Lift Chart
30.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Profit Chart
31.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Profit Chart
32.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Mining Model Prediction
33.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Mining Model Prediction
34.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Query Results View
35.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Order the Data Differently
36.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Singleton Query
37.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Singleton Query
38.
Time Series Mining Structure
39.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Time Series Mining Structure • Right click on Mining Structures and choose New Mining Structure
40.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Select Definition Method
41.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Create the Data Mining Structure
42.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Select DSV
43.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Specify Table Types
44.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Specify Training Data
45.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Specify Columns Content and Data Types
46.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Complete the Wizard
47.
Copyright 2014 ©
Ram Kedem. All rights reserved. Not to be reproduced without written consent. ramkedem.com Mining Model Viewer