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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 tree in data mining  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 hypothesis. Regression 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 tree in data mining


How to Evaluate Web-based BI Solutions
Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web

decision tree in data mining  reports Decision analysis and decision tree display The display of process flows and information hierarchies through graphical flow charts Distributes content across the enterprise via the Web The ability to share reports across the Web to enable collaboration within the organization Uses portals to deliver customized information enterprise-wide The delivery of reports to various users across the organization Sets qualifications based on a relationship filter or metric Identifies and pulls specific data Read More...
Business Intelligence for SMBs: MBS Excel Applications and Competitive Analysis
Companies relying on an Excel or Excel-like system need to know that, while Excel might suffice for ad hoc analysis and data storage for individuals or small

decision tree in data mining  (CPA), and other key decision makers. The solution's reporting and BI features make it a powerful and easy-to-use tool for accountants and financial professionals, enabling them to leverage information from both SAP Business One and other sources for up-to-the minute analytics and insight across the business. Users have the ability to create comprehensive business reports, comparisons and what-if scenarios on-the-fly, with new point-and-click and drag-and-drop features. Because the reporting tool uses Read More...
Predictive Product Keeps Debtors’ Prison Empty
SLP InfoWare adds a module that identifies credit risks.

decision tree in data mining  predictive modeling,predictive modeling software,data warehouse software,data mining training,angoss,data minning,data mining concepts,predictive modelling software,prediction impact,decision tree software,data mining course,data mining tool,r data mining,spss software,data mining software Read More...
Quote-to-order: The Major Players in the Manufacturing Arena
The latest generation of quote-to-order systems uses knowledge-based software to help reduce an organization’s dependence on its highly skilled experts. The

decision tree in data mining  , Constraint Map and Decision Map , Forms Editor , Database Attach , List Editor , Tree Editor , Case Editor , Hierarchy Editor , and Procedure Editor as building blocks. Unlike within most product configurators, Cincom's graphical knowledge modeling environment makes it easy for nontechnical users to quickly develop solutions that assist in the analysis of customer needs, product selection, product configuration, pricing, quotes, and customer support. Modeling tools enable domain experts to capture and Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

decision tree in data mining  better, more informed business decisions that help them drive growth and reduce costs. Although we offer WX 2 as an on-premise solution either as a software-only license or as a fully configured data warehouse appliance, Kognitio also allows companies to get the analytic insight they need for a low-cost monthly fee via the Kognitio Cloud , where we run our Data Warehousing as a Service offering. The Kognitio Cloud is a secure “private cloud” solution that offers end users maximum flexibility and a Read More...
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

decision tree in data mining  Enterprise Management Associates, EMA, 9sight Consulting, big data, hybrid data ecosystem, real-time data, big data buzz, big data requirements, big data challenges, big data architecture Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

decision tree in data mining  to make the configuration decisions and possibly negotiate contracts for outsourced management. This ongoing management role is shown as customer-side project management in Figure 7, later in this paper. Subordinate management roles The general process map of Figure 1 shows project management as a single bar across the top, implying that it is one job. It can be one job, and in smaller projects it might be configured that way. More often it is configured as more than one job, or an oversight job with Read More...
Linked Enterprise Data: Data at the heart of the company
The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

decision tree in data mining  data silo,business information systems,linked enterprise data,LED,business intelligence,BI,master data management,MDM,service-oriented architecture,SOA,search engines,Antidot,Antidot white paper,semantic web Read More...
The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

decision tree in data mining  SAP,business intelligence,data services,data integration,data quality,integration data,business intelligence data,data integration software,data management services,data quality management,business data integration,business intelligence data warehousing,business objects data integration,crm business intelligence,customer data integration Read More...
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

decision tree in data mining  High-Density Zone Benefits The decision on whether to move forward with deployment of a high-density zone should also consider the following benefits: Standardization of design elements Compatibility with any data center, new or existing Configurability with dedicated UPS and power distribution Configurability with any level of redundancy Configurability with any number of IT racks Standardized design elements In order for high-density zones to provide predictable performance they must include standard Read More...
Eliminating Mining Industry Profitability Killers through a Common Decision Environment
Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered

decision tree in data mining  Killers through a Common Decision Environment Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered by the operational profitability killers embedded in traditional processes. Find out how technology-supported collaborative decision making drives key efficiencies at all stages of the asset lifecycle, from planning and construction through production and into decommissioning. Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

decision tree in data mining  make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

decision tree in data mining  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center life cycle, data center facility operations, data center PUE, PUE, data center reference design Read More...

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