Derived Attributes -how Much Should I Help The Algorithm

Feb 28, 2008

Hi,
I am a novice data miner, working primarly in the BI field. I want to learn more about Data Mining so I am doing some experimenting.

I have a question regarding input attributes. I am particurlary wondering about the Neural Network algorithm, but also for Data Mining in general. What I am thinking about is if, and if so to what extend, I should create derived attributes for the algoritms. Iīll try to clarify with an example:

Lets say I am analysing sales performance for departments in a large company. Some of those departments has a high staff turnover, which might affect sales negatively (although I don't know that...). The high staff turnover could be detected, by the algorithm and humans, by looking at each sales, and which salesperson that handled it. If there are a lot more different salespersons in different departments by the same size and during the same time period, this is a sign of a high staff turnover.

Now is this info enough for the algorithm? Or should I add a column in the case dataset, where I discretesize the staff turnover as "High,Medium,Low"? Does this help the algorithm or can it affect the performance?

I hope you'll get the idea of my question, otherwise ask me!

Cheers,
AL

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Jun 30, 2015

I am working in SQL Server Master Data Services  Version 11.0.5058.0 (SP 2).

I have been asked to group all the financial attributes together.  When I move one of the attributes up using the arrows, it works good jumping over one attribute at a time.  Then I reach a section of attributes where it leap frogs over 24 attributes.

It appears these 24 attributes are in a subgroup but there are no attribute groups and I removed the subscription view from the entity.  If I move one of the 24 attributes in the group, it moves it outside of the 24 attributes.

This is under leaf member attributes.  There are no collection or consolidated groups.

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I'm using a DW from Northwind database to build a cube to do some analitical taks. I already create the cube and now I am "cleaning" the dimensions. I'm having some difficults to understand the logical off this part. The reason is that When I create the Data Source View, I only import the Foreign Keys that connect the Dimensions to Fact_Table. I have to drag the attributes of Dimension from Data Source View to the tab attributes? 

Imagine this:

I have the following dimension:

Dim_Customer:
Customer_ID
Name_Customer
Job_Function
Date_of_Birth
Contact
Address
City
Country

When I create the cube only Customer_ID appears in attributes tab, it's normal? 

One more question:

I don't want to create a hierarchy like:

Customer ID -> Name_Customer
Customer ID -> Date_of_Birth
Customer ID -> Address
Customer ID -> City
Customer ID -> Country

My idea is to create the following hierarchy: 

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But the first hierarchy that I show is always appears to me. Do you know what is happens?

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Nov 11, 2004

Hello all-

I have a specification table that has some attributes defined.
SpecId - Id of the specification
Attribute - Attribute of the spec. (Like Color, HP etc)
Value - Is the value of the attribute
Then I have a car table that actually has information about the cars. Intention is to take each specification and match the cars that match the specification. If the car has more attributes than the spec, we ignore the extra attributes for the match. But if the car has less attributes, we don't even consider the car as a match (even if the attributes present, match). To summarize, the car's attributes should be >= spec's attributes.

The code I have below is bad because I am joining the same tables twice. In addition, it fails in the condition "the car's attributes should be >= spec's attributes"

Any help is greatly appreciated.




DECLARE @Specification TABLE
(SpecId VARCHAR(10),
AttributeVARCHAR(100),
ValueVARCHAR(100))

DECLARE @Car TABLE
(CarName VARCHAR(10),
AttributeVARCHAR(100),
ValueVARCHAR(100))

INSERT INTO @Specification VALUES ('S1', 'Type', 'Sedan')
INSERT INTO @Specification VALUES ('S1', 'Transmission', 'Auto')
INSERT INTO @Specification VALUES ('S1', 'HP', '220')

INSERT INTO @Specification VALUES ('S2', 'Type', 'SUV')
INSERT INTO @Specification VALUES ('S2', 'Transmission', 'Manual')
INSERT INTO @Specification VALUES ('S2', 'HP', '300')

INSERT INTO @Car VALUES ('Accord', 'Type', 'Sedan')
INSERT INTO @Car VALUES ('Accord', 'Transmission', 'Auto')
INSERT INTO @Car VALUES ('Accord', 'HP', '220')
INSERT INTO @Car VALUES ('Accord', 'Color', 'Black')

INSERT INTO @Car VALUES ('Escape', 'Type', 'SUV')
INSERT INTO @Car VALUES ('Escape', 'Transmission', 'Manual')
INSERT INTO @Car VALUES ('Escape', 'HP', '300')

INSERT INTO @Car VALUES ('Explorer', 'Type', 'SUV')
INSERT INTO @Car VALUES ('Explorer', 'Transmission', 'Manual')

SELECT DISTINCT Spec.SpecId, Car.CarName
FROM @Specification Spec
INNER JOIN @Car Car
ON Spec.Attribute = Car.Attribute
AND Spec.Value = Car.Value
WHERE Spec.SpecId NOT IN (SELECT Spec.SpecId
FROM @Specification Spec
LEFT OUTER JOIN @Car Car
ON Spec.Attribute = Car.Attribute
AND Spec.Value = Car.Value
WHERE Car.CarName IS NULL)

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suggestions??

thansk in advance
km

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What command would I type that would tell me all of the columns/attributes in that table, and the data types which they are?
Bill

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May 24, 2006

I have a few tables that have an disabled attribute using a BIT datatype. A lot of my queries on the front end look like:

SELECT *
FROM TableA
WHERE disabled <> 1

There's usually some other constraints on the query (get TOP 10 and greater than a certain date for example). Right now my tables are very small (only a couple thousand rows). I don't anticipate these tables having more than 100,000 rows.

Right now let's say there's only a CLUSTERED INDEX on the date field, and regular INDEXES on the identity field and perhaps some other UNIQUE name in the table.

Unless I am doing ranged queries on the CLUSTERED INDEXED field, I'm going to be performing table scans almost every time, right?

This sort of goes along with another question:

Say you run the following (SQL Server):



CREATE TABLE TestA (
[id] INT IDENTITY (1, 1) PRIMARY KEY,
disabled BIT DEFAULT 0
)
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('1')
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('1')
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('0')
GO
INSERT INTO TestA (disabled) VALUES ('1')
GO
INSERT INTO TestA (disabled) VALUES ('1')
GO
INSERT INTO TestA (disabled) VALUES ('0')


Since [id] is a PK there will be a CLUSTERED INDEX placed on it. My question is; what does the optimizer do when you perform the following query?


SELECT TOP 3 *
FROM TestA
WHERE disabled <> '1'


My assumption is that since there's a CLUSTERED INDEX it will simply iterate through every tuple and check to see if disabled is not '1'. If my assumption is correct then these kind of boolean fields aren't a big deal if TOP queries are performed on a CLUSTERED INDEX.

So I guess what I am getting at is: Are bit attributes a sign of bad design? As tables get larger will performance degrade significantly? Would a better design be to have a seperate table of disabled items (which may result in large NOT IN subqueries)?

Any information on his would be greatly appreciated.

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I would like to be able to view a persons attributes at any point in time and therefore need to maintain a history. The currenct approach in place is to archive images of the whole table at certain points in time, which is unacceptable as it misses some changes, is not very accessible and also stores data which does not change.

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For the documentSearchKey entity attributes can be considered search keys or where clause values.
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The problem is whether or not to add 20 columns across or to add 3 columns and create a non-normalized DB so additional keys can be added at will.

The proposed table now contains 3 columns (docID, KeyID, KeyValue). Of course, 10 keys for 1 million records create 10 million rows Versus the traditional table with 1 million records always has 1 million records(keys are cols) where some columns contain blanks or nulls.

Which design is better in terms of searching and performance?
Also, books and links are welcome as well. This is a specific question to a production issue.

Thank You Very Much !

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Aug 24, 2005

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Dec 6, 2006

Hi, all here,

Thank you very much for your kind attention.

I am having a question about Microsoft Clustering algorithm here. When we train the clustering model, we gain the clusters based on the model training. So what are the relationship among all attributes within each cluster? When we sumarize the characteristics for each cluster, for example, based on criteria attribute A=X, we got the darker cluster for this criteria, along with this characteristics (A=X), we also got other characteristics, so what is the exact relationship among all these chracteristics? It seemed they dont have any relationship to each other at all? (A=X dose not mean most likely B=Y if A=X?, what it means only is within this cluster, most likely A=X and B=Y etc. and A=X has the largest population within this cluster). I therefore cant see these chracteristics really interested.

Looking forward to any guidance and advices for that.

With best regards,

Yours sincerely,

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May 29, 2008

Hi,

the query below (from Adventure Works) displays the sales amount for three products and a custom member "aggregation" which is the aggregate of these three products, and it cross joins with the attribute "colour".




Code Snippet

with member [Product].[Product Categories].[Subcategory].&[31].[aggregation] as 'AGGREGATE({ [Product].[Product Categories].[Product].&[214], [Product].[Product Categories].[Product].&[215], [Product].[Product Categories].[Product].&[220] })'



SELECT { [Date].[Calendar].[All Periods] } ON COLUMNS ,



NON EMPTY { { { [Product].[Product Categories].[Product].&[214], [Product].[Product Categories].[Product].&[215], [Product].[Product Categories].[Product].&[220],[Product].[Product Categories].[Subcategory].&[31].[aggregation] } * { [Product].[Color].[All Products].CHILDREN } } } ON ROWS



FROM [Adventure Works]



WHERE ( [Measures].[Reseller Sales Amount] )


Can someone please explain me why I'm getting this result:








All Periods

Sport-100 Helmet, Red
Red
39328.1586

Sport-100 Helmet, Black
Black
12098.0788

Sport-100 Helmet, Blue
Blue
13331.5816

aggregation
Black
64757.819

aggregation
Blue
64757.819

aggregation
Red
64757.819 (note that 64757.819 is the total of the three products)


instead of something like this:









All Periods

Sport-100 Helmet, Red
Red
39328.1586

Sport-100 Helmet, Black
Black
12098.0788

Sport-100 Helmet, Blue
Blue
13331.5816

aggregation
Black
12098.0788

aggregation
Blue
13331.5816

aggregation
Red
39328.1586

and also if anyone knows of a possible way of getting the second type of result?

please note that if I create a custom member that aggregates members of any other level of the Product Category hierarchy, the problem doesn't exist (see code and results below)




Code Snippet
WITH MEMBER [Product].[Product Categories].[Category].&[4].[Aggregation] as
'AGGREGATE({ [Product].[Product Categories].[Subcategory].&[31],
[Product].[Product Categories].[Subcategory].&[32] })'
SELECT { [Date].[Calendar].DEFAULTMEMBER } ON COLUMNS ,
NON EMPTY { { { [Product].[Product Categories].[Subcategory].&[31],
[Product].[Product Categories].[Subcategory].&[32],
[Product].[Product Categories].[Category].&[4].[Aggregation]} * { [Product].[Color].[All Products].CHILDREN } } } ON ROWS
FROM [Adventure Works]
WHERE ( [Measures].[Reseller Sales Amount] )














All Periods

Helmets
Black
87915.3689

Helmets
Blue
91052.8681

Helmets
Red
79744.6953

Hydration Packs
Silver
65518.7485

aggregation
Black
87915.3689

aggregation
Blue
91052.8681

aggregation
Red
79744.6953

aggregation
Silver
65518.7485

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Nov 28, 2007

hi
i have a problem
i am writing a stored procedure which contains "EXECUTE" statment which excutes the query and retrieves the attributes what i want.
by using that procedure it is working fine and i am able to get the result

but i am not able to build the report why because this dataset not listing the attributes.


my procedure is like this :
--------------------------------------------
USE [HOST_BPM_COVLTCP]
GO

SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO


ALTER PROC [dbo].[PB_Report_GetProjectAttributes]
@intProjectId INT
AS
BEGIN

DECLARE @STR_ATTRIBUTES VARCHAR(8000), @SRC_ATTRIBUTE_COLUMNS VARCHAR(8000), @SRC_ATRIBUTE_NAMES VARCHAR(8000)

SELECT
@STR_ATTRIBUTES = COALESCE(@STR_ATTRIBUTES + ',', '') + 'dbo.FindAndReplace(MAX(CASE WHEN ATTRIBUTE_ID = ' + CONVERT(VARCHAR, IDX) + ' THEN ISNULL(ATTRIBUTE_VALUE, '''') ELSE '''' END)) [' + CONVERT(VARCHAR, LABEL) + ']',
@SRC_ATTRIBUTE_COLUMNS = COALESCE(@SRC_ATTRIBUTE_COLUMNS + ',', '') + 'SRC.[' + CONVERT(VARCHAR, LABEL) + ']',
CONVERT(VARCHAR, IDX)
@SRC_ATRIBUTE_NAMES = COALESCE(@SRC_ATRIBUTE_NAMES + ',', '') + '''' + LABEL + ''' ATTR_' + CONVERT(VARCHAR, IDX)
FROM
PB_ATTRIBUTE

SELECT
@SRC_ATTRIBUTE_COLUMNS = (CASE WHEN @SRC_ATTRIBUTE_COLUMNS IS NULL THEN '' ELSE ',' + @SRC_ATTRIBUTE_COLUMNS END),
@STR_ATTRIBUTES = ISNULL(@STR_ATTRIBUTES, ''''' DUMMY_COL'),
@SRC_ATRIBUTE_NAMES = ISNULL(@SRC_ATRIBUTE_NAMES, ' '''' WHERE 1 <> 1')

EXEC
(
'
SELECT
DP.IDX PROJECT_ID, dbo.FindAndReplace(DP.CODE) [Project Code], dbo.FindAndReplace(DP.NAME) [Project Name], dbo.FindAndReplace(DP.LABEL) [Project] ' + @SRC_ATTRIBUTE_COLUMNS + ',
ISNULL(DP.CREATED_BY,'''') AS CREATED_BY, ISNULL(DP.MODIFIED_BY,'''') AS MODIFIED_BY,
DP.CREATED_DATE, DP.MODIFIED_DATE
FROM
DIM_PROJECT DP,
(
SELECT
' + @STR_ATTRIBUTES + ', PROJECT_ID
FROM
PB_PROJECT_ATTRIBUTE_VALUE
WHERE
PROJECT_ID = ' + @intProjectId + '
GROUP BY
PROJECT_ID
) SRC
WHERE
DP.IDX = ' + @intProjectId + ' AND
DP.IDX *= SRC.PROJECT_ID
ORDER BY DP.LABEL
'
)
----------
actually this procedure should result the following attributes

PROJECT_ID,
[Project Code],
[Project Name],
[Project],
[Nature of Change],
[Department Priority #],
[Project Start Date],
[Project End Date],
[Project Status],
[Project Justification],
[Project Request Sub-Type],
[Project Request Type],
[Project Request 2nd Sub-Type],
[Requesting Department],
[Capital Fund Number],


but i am not getting the attribute list in the dataset

anyone help me out

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You can already see that whoever made this table wasn't thinking prudently. Anyway, I would like to make the table look like this:

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123, 1/1/08, 100
123 2/1/08, 200
123 3/1/08, 300

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Is there a way to either create a View or create a Query Table that converts the data like that for me? I need the new view/query to update when the original table updates, so a new table isn't an option.

Thanks ahead of time!

Reuben

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pcstamp account description
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ADM05081136070,356981897 641001 Vencimentos

ADM05081136281,231965274 641012 Outras Remunera√ß√Ķes
ADM05111059718,369000120 641012 Outras Remunera√ß√Ķes

i this case the attributes that are equal in the table are account and description

how can i query them doing a select that returns only the attributes with the same value?


I need to delete one of the duplicated attributes of the field, i can't have in this table values matching same account and same description...

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Using Historical Attributes With SCD Transform On A Table With A PK

Aug 8, 2007

I must be missing something somewhere...

I have a simple table with three fields: ID, LastName, FirstName. The ID is defined as the PK. In the table is a record of "12345, Smith, John". The incoming flat file has a record of "12345, Smith, Johnny".

In the SCD transform, the ID is the business key, and Last Name and First Name are defined as historical attributes.

During the load, the SCD transform correctly sends the data down the right path, but the insert fails with a primary key violation - as I would expect since it's trying to create a new current record.

How do I get around this problem without removing the PK ???

thx

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Analysis :: Cube Attributes Translations

Nov 3, 2015

How can we select translated text of cube translations, like measures, dimensions, dimension attributes. I have below query which return translations of dimension attribute's memebers

WITH
MEMBER Measures.CategoryCaption AS Product.Category.CurrentMember.MEMBER_CAPTION
MEMBER Measures.SpanishCategoryCaption AS Product.Category.CurrentMember.Properties("LCID3082")
MEMBER Measures.FrenchCategoryCaption AS Product.Category.CurrentMember.Properties("LCID1036")
SELECT
{ Measures.CategoryCaption, Measures.SpanishCategoryCaption, Measures.FrenchCategoryCaption } ON 0
,[Product].[Category].MEMBERS ON 1
FROM [Adventure Works]

I am getting translations of product category members but I want to get translated text of "Category"?

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Algorithm

May 22, 2002

Does any have a algorithm that can divide A into B without using the divide
sign (/) or the multiplication sign ( * ).

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What Is The Best Algorithm To Use?

Nov 24, 2006

I am new to DM and I am not sure which algorithm would be best to use.

I am trying to build a custom comparitor application that companies can use to compare themselves against other companies based on certain pieces of information. I need to group a company with 11 other companies based on 6 attributes. I need the ability to apply weightings to each of the 6 attributes and have those taken into consideration when determining which 10 other companies each company is grouped with. Each group must contain 11 members, the company for the user logged in and 10 other companies that it will be compared against.

At first I thought that clustering would be a good fit for this but I can not see a way to mandate that each cluster contain exactly 11 members, I cannot see a way to weight the inputs, and I think each company can only be in one cluster at a time which do not meet my requirements.

Any help will be greatly appreciated!

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Algorithm

Jun 8, 2006

Well, i have read in claude seidman book about data mining that some algorithm inside in microsoft decision tree are CART, CHAID and C45 algorithm. could anyone explain to me about the tree algorithm and please explain to me how the tree algorithm used together in one case?

thank you so much

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XML With Dynamic Attributes Based On Column Values

Apr 10, 2007

I have been banging my head against the wall for TWO days. I have
gone back and forth with a very patient guy on thescripts.com. You
can see the ridiculous thread here

http://www.thescripts.com/forum/threadnav628777-1-10.html

If you have time, at least peruse that so we don't go in circles.
Anyway, if you guys can help me solve this, I will be forever
grateful!!


Here is the "basic" problem:


Here is an example for TWO different entities in the database.


EntityID XmlFieldName Value
1 City Austin
1 State TX
1 Country US
2 CityName Los Angeles
2 StateCode CA
2 CountryCode US
2 Zip 111111


Here is how the two different results should be


where EntityID = 1
<Address City="Austin" State="TX" Country="US"/>


where EntityID = 2
<Address CityName="Los Angeles" StateCode="TX" CountryCode="US"
Zip="111111"/>


Notice how the attribute names (City or CityName, State or StateCode,
etc) are based off the XmlFieldName and I don't know in advance what
the possible values will be? I also don't know how many attributes
there will be, but they can be different per entity, depending on how
they have set up an address in our application.


Another thing to note, is that I kind of have this working in an sproc
using PIVOT and generating a table with the values that have the
correct dynamic column names (you can see this on my other thread I
posted above) but I REALLY need this to not use dynamic SQL (so can
use it in a function) if possible and be able to be used in a select
statement, whether it be a temp table as I would like to get a result
set back that I can do a FOR XML RAW on. If this is confusing, it is
because I am delerious. OR is there a way to return a table from an
SPROC that has dynamic columns built?


Please help!! Thanks so much!!!


Brian

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