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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 machine learning and data mining


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.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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 extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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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 product, a service, etc. Two main approaches can be used to perform sentiment analysis or text mining: a knowledge-based approach, which uses linguistic models to classify sentiments; and a learning-based approach, which uses

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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 analytics is emerging as a distinct new software sector.

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TEC Industry Watch: Enterprise Software News for the Week of June 11, 2012


SOFTWARE SELECTIONSJeanswest selects Manhattan Associates Industry tags: Fashion/retail "Manhattan Associates once again shows the strength of its SCALE platform; Jeanswest was in much need of a supply chain solution that could help them streamline logistics across and between three continents. Jeanswest will now be able to better manage its operations across its branded stores and distribution

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The Future of Learning: Industry Trends in Learning Management


Learning management systems (LMSs) have evolved over their short history in many ways. From the first classroom-based “training management systems” to today’s e-learning solutions, here’s a look at the future of learning technologies and current industry trends. Discover more about how performance management, informal learning, social media, and Web 2.0 are affecting the development of learning technologies.

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SimplyDigi LMS for Learning Management Systems Product Certification Report


SimplyDigi LMS is now TEC Certified for online evaluation of learning management systems solutions in the Human Capital Management (HCM) Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

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Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Mining & Quarrying


Mining is the extraction from the earth of materials used in different human activities (industry, trade, energy production, etc.). There are four major types of materials: precious metals and minerals (gold, diamonds, silver, etc.); materials used to produce energy (coal, uranium, etc.); base metals (copper, iron, etc.); and building materials (stone, sand, gravel) extracted from quarries, which are open-pit mines. There are two major types of activities specific to the mining industry: exploration, which involves the search for materials; and extraction, which is the activity of getting those materials out of the earth.

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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 visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

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