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Data mining and wind power prediction: A literature review

Colak, Ilhami; Sagiroglu, Seref; Yesilbudak, Mehmet - In: Renewable Energy 46 (2012) C, pp. 241-247

Wind power generated by wind turbines has a non-schedulable nature due to the stochastic nature of meteorological conditions. Hence, wind power predictions are required for few seconds to one week ahead in turbine control, load tracking, pre-load sharing, power system management and energy...

Persistent link: https://www.econbiz.de/10010806970

Modalităţi de integrare a tehnicilor data mining în sistemele informatice de management strategic

Andronie, Mihai - Facultatea de Finante şi Banci, Universitatea Spiru Haret - 2010

After the important progresses in information technology there appeared great volumes of data stored from different fields of human activity. From here there was a short way to developing advanced analysis techniques known as data mining. Using modern computer systems that integrate data mining...

Persistent link: https://www.econbiz.de/10008456291

Analiza comparativă a instrumentelor data mining

Andronie, Mihai - Facultatea de Finante şi Banci, Universitatea Spiru Haret - 2010

Data mining systems on the market are usually produced by companies from fields of activity like databases, statistical analysis. Enterprises can choose from a wide variety of commercial data mining tools to pick one that best suites their needs and can operate with the type of data they have....

Persistent link: https://www.econbiz.de/10008456292

An Extension Collaborative Innovation Model in the Context of Big Data

Li, Xingsen; Tian, Yingjie; Smarandache, Florentin; … - In: International Journal of Information Technology & … 14 (2015) 01, pp. 69-91

The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty. Computer science and information technology are changing the innovation environment and accumulating Big Data from which a lot of knowledge is to be...

Persistent link: https://www.econbiz.de/10011279047

Stay Ahead of Competition

Fok, Fok, D. - Erasmus Research Institute of Management (ERIM), … - 2013

The widespread use of the Internet and computer systems has led to a situation where data are available on almost everything. The volume and the level of detail of these data is something we considered to be impossible until a few years ago. Researchers in economics and business now have access...

Persistent link: https://www.econbiz.de/10010730462

Big Data and Specific Analysis Methods for Insurance Fraud Detection

BOLOGA, Ramona; BOLOGA, Razvan; FLOREA, Alexandra - In: Database Systems Journal 4 (2013) 4, pp. 30-39

Analytics is the future of big data because only transforming data into information gives them value and can turn data in business in competitive advantage. Large data volumes, their variety and the increasing speed their growth, stretch the boundaries of traditional data warehouses and ETL...

Persistent link: https://www.econbiz.de/10010756322

Selecting rows and columns for training support vector regression models with large retail datasets

Gür Ali, Özden; Yaman, Kübra - In: European Journal of Operational Research 226 (2013) 3, pp. 471-480

Although support vector regression models are being used successfully in various applications, the size of the business datasets with millions of observations and thousands of variables makes training them difficult, if not impossible to solve. This paper introduces the Row and Column Selection...

Persistent link: https://www.econbiz.de/10011052484

Integrating Data Mining Techniques into Telemedicine Systems

GHEORGHE, Mihaela; PETRE, Ruxandra - In: Informatica Economica 18 (2014) 1, pp. 120-130

healthcare systems. These challenges are represented mostly by economic constraints (spiraling costs, financial issues), but also … these may is in turn be leading healthcare organizations to embrace the techniques of data mining in order to create and … sustain optimal healthcare outcomes. Data mining is a domain of great importance nowadays as it provides advanced data …

Persistent link: https://www.econbiz.de/10010756310

Detecting money laundering using filtering techniques: a multiple-criteria index

Yang, Shenggang; Wei, Lai - In: Journal of Economic Policy Reform 13 (2010) 2, pp. 159-178

Money laundering is a dynamic activity attempting to circumvent anti-money laundering (AML) actions. We propose a money-laundering detection approach encompassing three separate detection measures applied simultaneously, providing a consolidated index to minimize circumvention. The index...

Persistent link: https://www.econbiz.de/10009208083

TOWARD A DISTRIBUTED DATA MINING SYSTEM FOR TOURISM INDUSTRY

Mirela, Danubianu; Tiberiu, Socaciu; Adina, Barala - In: Annals of Faculty of Economics 4 (2009) 1, pp. 922-926

Romania has a huge tourist’s potential, but currently it is too little valued and exploited. As a result, one of the strategic developments of the economy aimed the tourism industry. The strategic decisions are based on different trends obtained from soph

Persistent link: https://www.econbiz.de/10008511902

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