Data Mining 67 Success Secrets - 67 Most Asked Questions On Data Mining - What You Need To Know

Business & Finance
Cover of the book Data Mining 67 Success Secrets - 67 Most Asked Questions On Data Mining - What You Need To Know by Anne Cherry, Emereo Publishing
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Author: Anne Cherry ISBN: 9781488521027
Publisher: Emereo Publishing Publication: July 24, 2013
Imprint: Emereo Publishing Language: English
Author: Anne Cherry
ISBN: 9781488521027
Publisher: Emereo Publishing
Publication: July 24, 2013
Imprint: Emereo Publishing
Language: English
There has never been a Data Mining Guide like this. Data Mining 67 Success Secrets is not about the ins and outs of Data Mining. Instead, it answers the top 67 questions that we are asked and those we come across in our forums, consultancy and education programs.

It tells you exactly how to deal with those questions, with tips that have never before been offered in print. Get the information you need--fast! This comprehensive guide offers a thorough view of key knowledge and detailed insight. This Guide introduces everything you want to know to be successful with Data Mining.

A quick look inside of the subjects covered: SQL Server Integration Services: Providing Meaning to Data to Improve the Business Process, A Straightforward Definition of Business Intelligence, Knowledge Deployment , Objectives , SQL Server Analysis Services: Creating Intelligent Companies, Legal Case Management , What is Knowledge discovery in databases or (KDD)? , Disadvantages , What Is Business Intelligence: An Overview, What is Data Warehouse and Business Intelligence, What is data mining and why can it be a security risk? - Certified Information Security Manager, Metadata: A Different Metadata Format for Different Applications, Enterprise Data , Traditional data mining tools , How to Get MCITP: Business Intelligence Developer Certified, Add-On Services within the SQL Server, SQL Server 2000 Developer: Serving the Growing Need of Companies for Better Information Management, Uses of Metadata Repository , Data Mining offers different levels of analysis: , Data Gathering and Preparation , Visualizing Data Patterns , Examples of threats to access control - Certified Information Systems Auditor, Data Mining Tools , VMware ESX 3: The Complete Hypervisor of the Virtual Environment, Questions , Other Concepts , Requisites for the MCITP Business Intelligence Developer Exam, The Meaning of Data Management CDRL Configuration Management, Internet Companies , Online Analytical Processing , Typical Architecture of Data Warehouse , Critical VMware 64 bit extension for Supporting Multiple Platforms, Health Care Providers , Examples of recognized threats to access control - CISSP - Certified Information Systems Security Professional, Knowledge is within your Reach with SQL Server Books Online, Where Will Google Be Upon Web 3.0 Wikipedia Implementation?, Data Mining Process , Customer Loyalty , What Web Analytics Conference Offers?, Introduction , Design , Product Production , Storing Information Via Business Intelligence Data Warehousing, Business Intelligence Studio: A BI Developer s Best Companion, Questions , Insurance Companies , and much more...

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
There has never been a Data Mining Guide like this. Data Mining 67 Success Secrets is not about the ins and outs of Data Mining. Instead, it answers the top 67 questions that we are asked and those we come across in our forums, consultancy and education programs.

It tells you exactly how to deal with those questions, with tips that have never before been offered in print. Get the information you need--fast! This comprehensive guide offers a thorough view of key knowledge and detailed insight. This Guide introduces everything you want to know to be successful with Data Mining.

A quick look inside of the subjects covered: SQL Server Integration Services: Providing Meaning to Data to Improve the Business Process, A Straightforward Definition of Business Intelligence, Knowledge Deployment , Objectives , SQL Server Analysis Services: Creating Intelligent Companies, Legal Case Management , What is Knowledge discovery in databases or (KDD)? , Disadvantages , What Is Business Intelligence: An Overview, What is Data Warehouse and Business Intelligence, What is data mining and why can it be a security risk? - Certified Information Security Manager, Metadata: A Different Metadata Format for Different Applications, Enterprise Data , Traditional data mining tools , How to Get MCITP: Business Intelligence Developer Certified, Add-On Services within the SQL Server, SQL Server 2000 Developer: Serving the Growing Need of Companies for Better Information Management, Uses of Metadata Repository , Data Mining offers different levels of analysis: , Data Gathering and Preparation , Visualizing Data Patterns , Examples of threats to access control - Certified Information Systems Auditor, Data Mining Tools , VMware ESX 3: The Complete Hypervisor of the Virtual Environment, Questions , Other Concepts , Requisites for the MCITP Business Intelligence Developer Exam, The Meaning of Data Management CDRL Configuration Management, Internet Companies , Online Analytical Processing , Typical Architecture of Data Warehouse , Critical VMware 64 bit extension for Supporting Multiple Platforms, Health Care Providers , Examples of recognized threats to access control - CISSP - Certified Information Systems Security Professional, Knowledge is within your Reach with SQL Server Books Online, Where Will Google Be Upon Web 3.0 Wikipedia Implementation?, Data Mining Process , Customer Loyalty , What Web Analytics Conference Offers?, Introduction , Design , Product Production , Storing Information Via Business Intelligence Data Warehousing, Business Intelligence Studio: A BI Developer s Best Companion, Questions , Insurance Companies , and much more...

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