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Abstract:
Mobile learning allows user to learn by accessing mobile devices, at anytime and from virtually anywhere. Gauge whether your
business is ready for it. The popularity of mobile technology has brought mobile learning (m-learning) to one’s fingertips.
M-learning takes advantage of the mobility of the learn (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Mobile learning allows user to learn by accessing mobile devices, at anytime and from virtually anywhere. Gauge whether your
business is ready for ...
Published:
2010-12-21
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Abstract:
Read about end user interest in learning management (using data from TEC’s Evaluation Centers) and know the three learning
management trends for 2011. Learning management is a growing market in certain geographical areas and within specific industries.
The availability of mobile and collaborative learni (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Read about end user interest in learning management (using data from TEC’s Evaluation Centers) and know the three learning
management trends for 20...
Published:
2011-01-24
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Abstract:
For companies that seek to align their workforces with business objectives and turn human capital into a competitive advantage,
learning and development will be a critical enabler. Best-in-class companies are more than twice as likely as laggard companies
to have a learning and development strategy that (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Learning and Development: Aligning Workforce with Business Objectives. Source: SAP. Document
Type: White Paper Description: For companies that seek to align ...
Published:
2010-03-11
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Abstract:
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 performanc (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
... Inc. Document Type: White Paper Description: Learning management systems
(LMSs) have evolved over their short history in many ways. ...
Published:
2010-03-11
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Abstract:
Standards can play an important part in enterprise learning, from the development of learning content to how it interacts
with database management applications—specifically learning management systems (LMSs) and learning content management
systems (LCMs). This document provides an overview of the s (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
... This document provides an overview of the standards that affect learning
technologies and advice on how to work with vendors of standards-affected technologies ...
Published:
2010-03-11
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Abstract:
The Internet allows us to access information from anywhere in the world. However, access to documents is a barrier to many
remote workers and travelers who rely on people in the office to retrieve files from cabinets and fax or e-mail those documents.
Learn how document management systems (DMSs) can help (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Remote Workers and Document Management. Source ... structure. Download <strong>Remote
Workers and Document Management</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
In the past, training was seen as a preventive action or default activity. Then learning came into the forefront as a proactive
initiative that was more strongly linked to enhancing performance. This radical change from training to learning has created
a new awareness of measurement that chief executive (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
7 Key Learning Indicators Your CEO Really Needs to Know. Source: Eedo Knowledgeware Corporation. Document
Type: White Paper Description: In the past, training ...
Published:
2010-03-11
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Abstract:
Emerging technologies promise the possibility of big benefits. But real success comes only when a technology’s strengths
outweigh its limitations. In the field of learning management, this often means user support must be among the solution’s
strengths if it is to thrive. Discover how users have infl (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
The Top Five Emerging Trends in Learning Technology. Source: SumTotal Systems. Document
Type: White Paper Description: Emerging technologies promise the ...
Published:
2010-03-11
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Abstract:
Organizations today, in the face of increased global competition, need educated managers and employees who can solve problems,
understand complex issues, and learn new skills quickly. This means that training organizations need to provide learning opportunities
that effectively address these issues in wa (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
... Source: Paradigm Learning. Document Type: White Paper Description:
Organizations today, in the face of increased global competition, need educated managers and ...
Published:
2010-03-11
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Abstract:
To understand the meaning and value of dynamic content, you must first look at the various approaches to e-learning. Traditional
e-learning hard-bakes content into static material, causing updates to become a very lengthy process. Dynamic content strategies,
however, delivered through evolving learning c (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Dynamic Content: Connecting Performance and Learning. Source: Eedo Knowledgeware Corporation. Document
Type: White Paper Description: To understand the meaning ...
Published:
2010-03-11
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Abstract:
Will firewalls and sign-language soon be interactive? If anyone can do it, Cybernet Systems will be the first. (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Will firewalls and sign-language soon be interactive? If anyone can do it, Cybernet Systems will be the first.
Published:
2000-09-01
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Abstract:
Stand-alone learning management systems (LMS) often lack scalability, reliability, and secure access—and the interfaces to
offer these features. But new development strategies, standards, and tools can move LMS into the “next generation.” If you’re
an independent software vendor (ISV), an enginee (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
... Source: Lionbridge Technologies. Document Type: White Paper Description: Stand-alone
learning management systems (LMS) often lack scalability, reliability, and ...
Published:
2010-03-11
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Abstract:
BigMachines differentiates itself in the quote-to-order (Q2O) sphere due to its solutions’ lean end-to-end, inquiry-to-order
focus. Although there are other vendors offering Q2O as a service, BigMachines product is arguably more flexible, as high
tech manufacturers may be noting. (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
BigMachines differentiates itself in the quote-to-order (Q2O) sphere due to its solutions’ lean end-to-end, inquiry-to-order
focus. Although there...
Published:
2008-08-22
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Abstract:
Business process automation is all very well and good. After all, nothing succeeds like success, especially automated success.
But what is the effect of automation on the consumer, that most unpredictable of systems? (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Business process automation is all very well and good. After all, nothing succeeds like success, especially automated success.
But what is the eff...
Published:
2006-06-09
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Abstract:
This article provides hints for the design of e-learning courses with regard to target audience, navigation, objectives,
motivation, media, interactivity, assessment, aesthetics, tool selection, and evaluation. (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
This article provides hints for the design of e-learning courses with regard to target audience, navigation, objectives, motivation,
media, intera...
Published:
2006-02-23
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Abstract:
Companies dealing with industry or government regulations are often required to meet specific standards for system security,
audit trails, and verification of electronic documents. With electronic data increasingly replacing printed documentation,
new strategies are needed for dealing with regulatory com (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Introduction to Regulatory Compliance for Learning Management Systems. Source: GeoMetrix Data Systems Inc.
Document Type: White Paper Description: Companies ...
Published:
2010-03-11
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Abstract:
Any process that takes place involves workflow. Whether that process is limited to a single individual or multiple people,
a series of steps is completed during the workflow process. How can you streamline the document workflow process? Review workflow
related to document processes in a business environm (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Implementing Document Workflow Processes. Source: Cabinet NG (CNG). Document Type: White
Paper Description: Any process that takes place involves workflow. ...
Published:
2010-03-11
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Abstract:
To ensure a positive customer experience, companies must first learn what their customer values, and then determine how they
are measuring up to those values. Obtaining and taking action on customer feedback is what customer experience management
is all about. (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
To ensure a positive customer experience, companies must first learn what their customer values, and then determine how they
are measuring up to t...
Published:
2007-02-28
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Abstract:
Perhaps the most-asked question when considering document management solutions is “How do I scan my paper documents quickly
and efficiently?” Companies contemplating document management or electronic archiving of paper-based information must learn
the options and find out what works best for them. Re (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Document Imaging: Where to Begin. ... Read these guidelines for getting started with the
scanning process, often referred to as document capture or simply capture. ...
Published:
2010-03-11
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Abstract:
Managers of learning and talent already know a learning management system (LMS) can help companies cut costs or improve profits.
But how do you show that return on investment (ROI) to others? Learn more about the benefits, as well as how to assess the
ways an LMS can positively effect your business and t (...)
Excerpt related to
machine learning algorithms na ve bayes and k nearest neighbors for document classification:
Calculating the ROI of Your Learning Management System. Source: SumTotal Systems. Document
Type: White Paper Description: Managers of learning and talent already ...
Published:
2010-03-11
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