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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
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
Understanding Business Intelligence and Your Bottom Line
Given that virtually all small and midsized businesses can benefit from business intelligence (BI) tools, the real question is how much of this technology

decision tree in data mining  warehousing, business process automation, decision support systems, query and reporting systems, enterprise performance management, executive information systems (EIS) , business activity monitoring (BAM) , modeling and visualization, and so forth, your head can start spinning off its axis. Here is a workable definition of BI that was provided in a recent Technology Evaluation report from a January 10, 2005, Technology Evaluation Centers article by Mukhles Zaman entitled Business Intelligence: Its Ins Read More
Customer Relationship Analysis Firm Extends Reach
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America. Why does CGI expect

decision tree in data mining  data analysis,data warehouse software,data mining training,decision tree software,data mining software,business consulting services,data mining concepts,r data mining,data mining tools,market research firms,data mining companies,data warehousing tools,visual data analysis,data mining tool,data warehousing training Read More
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

decision tree in data mining  significant value to existing decision-making applications. Examples of applications here include: Customer and market intelligence-Internet Web pages Customer sentiment and complaint analysis-Web logs (blogs) and customer support center call records Product safety and quality analysis-service center records Product master data management-product catalogs Legal discovery—e-mails and instant messages Cleansing Customer and Product Data Every company struggles with the enormous amount of customer and Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

decision tree in data mining  data visualization, data visualization tools, business intelligence, business analytics, big data analytics Read More
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

decision tree in data mining  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart 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
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

decision tree in data mining  data security,data security architecture,data security articles,data security audit,data security breaches,data security companies,data security complianc,data security concerns,data security coordinator Read More
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

decision tree in data mining  private cloud backup,private cloud data management,private cloud,backup software,data protection Read More
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

decision tree in data mining  valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI applications. For those of you who don’t know, the definition of a Pareto chart according to Whatis.com is “a vertical bar graph in which values are plotted in decreasing order of relative frequency from left to right. Pareto Read More
Want to Know How to Survive in a Down Economy? Then Look in Your Warehouse!
When I speak with distribution executives nowadays, they all say the same thing: “We are struggling to keep our heads above water because of the economy

decision tree in data mining   Read More
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

decision tree in data mining  knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process. Read More

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