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The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

decision trees data mining  geography to group locations. Decision Trees A decision tree is a structure where a branch or a split divides the dataset to partition data distribution. Each split is based on an attribute that causes a significant division in the data. Predictions can be made by applying the new attribute values to the decision tree. Naïve Bayes The Bayes algorithm has a systematic method of learning based on evidence. It combines conditional and unconditional probabilities to calculate the probability of a Read More...
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » decision trees data mining


What’s New in Microsoft SQL Server 2000
SQL Server 2000, the next major release of SQL Server 7, is Microsoft’s SQL 7 release of its database both re-architected and re-written. Microsoft has high

decision trees data mining  Microsoft and consist of Decision Trees (four different algorithms based on classification theory), and Clustering (based on the nearest neighbor method). Third party algorithms are also supported. Full Text Search: The ability to run queries on text documents in relational tables and search across all indexed columns in a table. For Full-Text Search, documents are stored in Binary Large Objects (BLOBs) and registered for full-text indexing, including the ability to filter out noise words such as a Read More...
Using Predictive Analytics within Business Intelligence: A Primer
What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

decision trees data mining  item's target value. Basically, decision trees are built by creating a hierarchy of predictor attributes. The highest level represents the outcome, and each sub-level identifies another factor in that conclusion. This can be compared to if-else statements, which identify a result based on whether certain factors meet specified criteria. For example, in order to assess potential bad debt based on credit history, salary, demographics, and so on, a financial institution may wish to identify multiple Read More...
Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive

decision trees data mining  for the future and decision makers want to see the predictable future, control it, and take actions today to attain tomorrow's goals. What is Predictive Analytics? Predictive analytics are used to determine the probable future outcome of an event or the likelihood of a situation occurring. It is the branch of data mining concerned with the prediction of future probabilities and trends. Predictive analytics is used to automatically analyze large amounts of data with different variables; it includes Read More...
What's Really Driving Business Intelligence?
Typical explanations given for increased spending in business intelligence include, meeting government regulations, managing information overload, tracking

decision trees data mining  streamline management to improve decision-making and market response. There's nothing wrong with these descriptions of existing market conditions. Each of them is a correct and compelling reason for businesses to support BI initiatives. However, they don't tell the whole story. In fact none of these market drivers, taken individually or taken as a whole, are enough to explain the level of investment being made in business intelligence software. Think about it. Businesses have found ways to skirt or delay Read More...
Business & Decision
Business @ Decision is an international consulting and systems integration (CSI) company founded in 1992. Its focuses include business intelligence, customer

decision trees data mining  & Decision Business & Decision is an international consulting and systems integration (CSI) company founded in 1992. Its focuses include business intelligence, customer relationship management, and e-business. Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

decision trees data mining   Read More...
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

decision trees data mining  network encryption,regulatory data protection,data protection breach,regulatory data,data security management,data encryption,data structures,data stores,data groups,data items,enterprise architecture framework,data models,data storage systems,data protection solutions,data network security Read More...
Containerized Power and Cooling Modules for Data Centers
Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings

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Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

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Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

decision trees data mining  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

decision trees data mining  business intelligence,BI,data integration,customer relationship management,CRM,enterprise resource planning,ERP,customer data integration,CDI,master data management,MDM,customer data hubs,service-oriented architecture,SOA,Siperian Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

decision trees data mining  customer data quality,data cleansing service,data integration system,data cleansing services,data profiling,data profiling software,data quality,data cleansing software,data governance,data integration Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

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Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

decision trees data mining  data profiler,data cleansing software,data profiling tool,data warehouse software,data quality software,data hygiene,data quality tools,ascential etl,data quality tool,etl software,data cleansing tools,ascential datastage,data profiling tools,datastage job,data warehousing software Read More...

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