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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

machine learning and data mining  together techniques from statistics; machine learning (the design and development of algorithms that allow systems to learn and to improve their own performance based on their own experience); neural networks (mathematical or computational models based on nervous systems); database technology; high-performance computing (the use of supercomputers and computer clusters); and spatial data analysis (techniques to study entities using their topological, geometric, or geographic features)—to name a few. Read More
Mining Industry (ERP & CMMS)
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Documents related to » machine learning and data mining


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

machine learning and data mining  managers pored over every machine and process to make it more efficient. Now statisticians mine the information output of the business for new ideas. The data-centred economy is just nascent, admits Mr Mundie of Microsoft. You can see the outlines of it, but the technical, infrastructural and even business-model implications are not well understood right now. This special report will point to where it is beginning to surface. All too much Monstrous amounts of data QUANTIFYING the amount of 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

machine learning and data mining  merges the fields of machine learning and statistics. KXEN Analytic Framework is a suite of predictive and descriptive modeling engines that create analytic models. It places the latest data mining technology within reach of business decision makers and data mining professionals. The key components of KXEN are robust regression, smart segmenter, time series, association rules, support vector machine, consistent coder, sequence coder, model export, and event log. One can embed the KXEN data mining tool Read More
TEC Industry Watch: Enterprise Software News for the Week of June 11, 2012
SOFTWARE SELECTIONSJeanswest selects Manhattan Associates Industry tags: Fashion/retail

machine learning and data mining  judged by Standby Screw Machine as offering the best fit for its needs. —Aleksey Osintsev, TEC Research Analyst IQMS: TEC profile Compare IQMS to leading competitors ********** SOFTWARE VENDOR M&As AND PRODUCT LAUNCHES OpenText acquires cloud-based messaging company EasyLink Industry tags: cross-industry OpenText has announced that it has agreed to acquire EasyLink. EasyLink provides a variety of document and communication integration services, including EDI, fax, secure e-mail and managed file Read More
The Intelligence of Social Media (Part 2)
In the first part of this blog, I mentioned that sentiment analysis measures the polarity of opinion—positive, negative, or neutral—regarding a subject, a

machine learning and data mining  learning-based approach, which uses machine learning techniques to classify text. The concept of sentiment analysis opens a great number of possibilities and opportunities for introducing BI strategies to analyze the enormous amount of data flowing through the Web. In fact, some software solutions have been designed to address this type of analysis. These tools are called “social Web analytics.” According to the definition provided by The Social Web Analytics eBook (2008) , by Philip Sheldrake, Read More
LCMS Exposed! Understanding the Differences between Learning Management and Learning Content Management
The Cost of Learning—a Very Brief HistoryTraining (or learning) has always been viewed as a cost center (representing a cost of doing business similar to

machine learning and data mining  Exposed! Understanding the Differences between Learning Management and Learning Content Management The Cost of Learning—a Very Brief History Training (or learning) has always been viewed as a cost center (representing a cost of doing business similar to other employee costs such as salary, commissions, and benefits). That's why many organizations in the past have struggled with the challenge of justifying the cost of training in their budgets. Today, organizations are making significant investments 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

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Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

machine learning and 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 physical infrastructure, data center infrastructure outsourcing Read More
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

machine learning and 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
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

machine learning and data mining  data management analysis software selection,data analysis management solution evaluation,compare most accurate data tools, statistics application selection,statistical methods,improve data management and analysis,rfp to manage data,ecm software evaluation,information security is,compare information security systems,document management systems,dms,dms selection,is solution comparisons,product information management solution selection,pim,enterprise content management ecm,electronic media files,pim solution selection,compare top access control files software,security,evaluate data delivering systems,business analysis reports,dmag,analyse statistics,methodology,evaluate information security systems. Read More
Providing Effective E-Learning for an Extremely Large and Global Distribution Channel
When Amway needed to provide training to over 4 million distributors worldwide, improve sales readiness and retention of new distributors, and manage learning

machine learning and data mining  Effective E-Learning for an Extremely Large and Global Distribution Channel When Amway needed to provide training to over 4 million distributors worldwide, improve sales readiness and retention of new distributors, and manage learning across regions with different regulatory issues, it deployed SumTotal Learning Management, in three separate on-premise installations. See how this e-learning rollout to over 1.8 million people in 2 years helped Amway grow penetration to new distributors by 30%. Read More
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

machine learning and data mining  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

machine learning and data mining  data migration,data migration management,data migration tools,data migration software,data migration plan,data migration tool,data migration services,data migration best practices,data migration process,data migration testing,crm data migration manager,data migration manager,data migration plan template,sql server data migration,legacy data migration 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

machine learning and 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
Saba Learning Suite
Saba Enterprise 5.4 is a unified HCM solution that provides learning modules and uses Web 2.0. It enables global governance and is a scalable and integrated

machine learning and data mining  Learning Suite Saba Enterprise 5.4 is a unified HCM solution that provides learning modules and uses Web 2.0. It enables global governance and is a scalable and integrated solution. Saba Learning Suite is built on the Saba Enterprise and addresses the strategic mandates of the learning organization to deliver formal and informal learning. With Saba Centra, Saba Learning Suite is a learning suite that addresses formal, informal, self-paced, live, and blended learning. The Saba Learning Suite consists Read More

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