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Data mining personnel
April 23, 2008Unearthing diamonds through human resources knowledge discovery
With the dark clouds of global recession now is the time for companies to make the most of their most valuable assets - their personnel. Writing in a forthcoming issue of the International Journal of Business Information Systems, researchers in India explain how data mining could help unearth the diamonds in the rough.
Enterprises commonly identify their most important resource as their people. Employee skills, adaptability, knowledge and dedication are often crucial to a firm differentiating itself from its competitors. Despite the obvious advantages, many companies pay only lip service to using their personnel as effectively as possible and to exploiting the information available to them.
Data mining is the process of extracting information from large data sets through the use of algorithms and techniques drawn from the field of statistics, machine learning and database management systems, the researchers explain. And could just as readily be used to glean useful insights within a human resources database as in any other sphere. In contrast, traditional methods of looking for patterns in a large body of data usually involves manual work in interpretation of data, and thus are slow, expensive and highly subjective
A human resources database will most likely contain information, such as skills, qualifications, and employment history for all staff, as well as their position within the company and interactions between personnel as well as promotions and demotions. "We have developed a method of data mining that can discover and extract useful patterns from such a large data set to reveal patterns that might be useful to improving a business in terms of efficiency and profits," the researchers explain.
By understanding these patterns business can predict what kinds of human resource activities are likely to occur, including natural staff turnover, changes in morale during times of change, how promotions, pay rises and other management decisions are likely to affect staff not directly involved, and even which people will work most effectively together on what particular tasks. Data mining could then be used to help firms decide employee performance (both group-based and individual performance) and hence improve their policies, set up new strategies to help them compete in the market place edge and perhaps even sweep away those dark clouds during times of recession.
Inderscience Publishers
Data Mining Current Events and Data Mining News RSSAutism Consortium symposium draws record number of researchers, advocates, parents for autism update
The Autism Consortium, an innovative collaboration of researchers, clinicians, funders and families dedicated to catalyzing research and enhancing clinical care for autism spectrum disorders (ASDs), held its fourth annual symposium on October 28th, 2009, at Harvard Medical School in Boston.
Protecting Your Virtual Privacy
The details of your personal life, such as grocery purchases and pizza topping preferences, are collected every day - online and by club and discount cards from the gym, department store and supermarket.
An intelligent system avoids forgetting things
A team of researchers from the University of Granada (UGR) has created a system with Artificial Intelligence techniques which notifies elderly people or people with special needs of the forgetting of certain everyday tasks.
Tracking the life and death of news
As more and more news appears on the Internet as well as in print, it becomes possible to map the global flow of news by observing it online.
New statistical technique improves precision of nanotechnology data
A new statistical analysis technique that identifies and removes systematic bias, noise and equipment-based artifacts from experimental data could lead to more precise and reliable measurement of nanomaterials and nanostructures likely to have future industrial applications.
Roadkill study could speed detection of kidney cancer
Large-scale data mining of gene networks in fruit flies has led researchers to a sensitive and specific diagnostic biomarker for human renal cell carcinoma, the most common type of kidney cancer.
Two Dutch researchers analyse striking behaviour of websurfers
What behaviour do website visitors exhibit? Do they buy a specific product mainly on Mondays? Do they always return at a certain time of day? Being able to recognise and make use of such patterns is lucrative business for companies.
All counterterrorism programs that collect and mine data should be evaluated for effectiveness
All U.S. agencies with counterterrorism programs that collect or "mine" personal data -- such as phone, medical, and travel records or Web sites visited -- should be required to systematically evaluate the programs' effectiveness, lawfulness, and impacts on privacy, says a new report from the National Research Council.
Bio-imaging mass spectrometry techniques reveal molecular details about complex systems
Understanding biology at the systems level is difficult, especially when studying complex specimens like tissue slices or communities of organisms in a biofilm. Scientists must be able to identify, quantify and locate the molecules present in the samples.
Data mining detects signs of Lou Gehrig's disease in gene carriers long before symptoms appear
Inspired by the use of microarray chips that look for gene combinations, psychologists are using "pattern array" software to spot movements in rats that might help them predict diseases such as Lou Gehrig's syndrome.
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