Andhra Pradesh Intermediate Board has annouced the resultsdate of inter results 2012. Ap intermediate had conducted the examinations.The inter exams started on 03 March 2012 to 21 March 2012. More than 15 Lakhs students were appeared for the inter exams 2012. Inter results will be announced on 04 June 2012. Students who are written the inter 1st Year,2nd year M.P.C and Bi.P.C Groups examinations The marks will be helpfull to get the good rank in Eamcet 2012.Student can enter you hallticket number to get the intermediate results 2012 after they published.Intermediate results 2012 will be available in bieap.gov.in,www.manabadi.co.in and schools9.com Stay tuned for more information ap inter results 2012 fell free to contact viat comments.
Resultsdate of Intermediate First and second year Results 2012 will be announced soon
AP Intermediate Junior and senior Inter 2012 Results available in bieap.gov.in.
What is Data Mining and classification of stages
Data Mining is an advanced concept of using the database for management decision making.Data mining,concept has enabled both management and technical people to discover some patterns in the data,which were not available before.Data Mining is related to analyzing data or facts on various facets(dimensions and combinations) and recognizing patterns.Pttens tell about the behaviour of the market i.e., how the market responds to a particular businees decision or process.This has given some new insights and facility to gain new knowledge for the management.All this helps,in better decision making and increasing profits and reducing riskin decision making.
The Stages of Data Mining:
Selection:In the Large volume of data,that is available,only a subset of data is selected.This can be done,on the basis of a criteria.
Preprocessing:This is also known as 'data cleansing' stage.Any information which is understood as unnecessary is removed form the process.Because,irrelevant data can not only slow down the queries,but also cause inconsistencies.
Transformation (add Business related data):
This stage involves,combining the available data with some market related or businees related overlays.For example,we can add data such as locations names,income levels,type of living such asrural or urban.This is known as demographic trends.
Data Mining: This stage is concerned with the actual extractions of patterns from data.Forthis,all the facts are collected and specific planning language is applied to recognizepatterns.Technically ,a pattern decsribes relationships among a subset of data with an
amount certainty.
Interpretation and evaluation:
Tha patterns recognized are now accumulated as knowledge.This knowledge helps inmanagement decision making.Management can use this knowledge in prediction andclassification,summarizing the contents and so on.
The Stages of Data Mining:
Selection:In the Large volume of data,that is available,only a subset of data is selected.This can be done,on the basis of a criteria.
Preprocessing:This is also known as 'data cleansing' stage.Any information which is understood as unnecessary is removed form the process.Because,irrelevant data can not only slow down the queries,but also cause inconsistencies.
Transformation (add Business related data):
This stage involves,combining the available data with some market related or businees related overlays.For example,we can add data such as locations names,income levels,type of living such asrural or urban.This is known as demographic trends.
Data Mining: This stage is concerned with the actual extractions of patterns from data.Forthis,all the facts are collected and specific planning language is applied to recognizepatterns.Technically ,a pattern decsribes relationships among a subset of data with an
amount certainty.
Interpretation and evaluation:
Tha patterns recognized are now accumulated as knowledge.This knowledge helps inmanagement decision making.Management can use this knowledge in prediction andclassification,summarizing the contents and so on.
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EDUCATION
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