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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
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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
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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
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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
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Country-risk measurement and analysis: A new conceptualization and managerial tool
Brown, Christopher L.; Cavusgil, S. Tamer; Lord, A. Wayne - In: International Business Review 24 (2015) 2, pp. 246-265
tackle puzzles differently. Advancing this discussion, we make the case for a new conceptualization and measurement of … country-level risk and introduce the Robinson Country Risk Index (RCRI), a tool which incorporates four broad dimensions … measurement of country risk and provides a dynamic new instrument for educators, researchers, and practitioners. …
Persistent link: https://www.econbiz.de/10011193862
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Clustering Analysis for Credit Default Probabilities in a Retail Bank Portfolio
TUDOR, Adela Ioana; BÂRA, Adela; Elena ANDREI (DRAGOMIR - In: Database Systems Journal 3 (2012) 2, pp. 23-30
Methods underlying cluster analysis are very useful in data analysis, especially when the processed volume of data is very large, so that it becomes impossible to extract essential information, unless specific instruments are used to summarize and structure the gross information. In this...
Persistent link: https://www.econbiz.de/10010587745
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Application of Artificial Intelligence and Data Mining Techniques to Financial Markets
Hilovska, Katarína; Koncz, Peter - In: ACTA VSFS 6 (2012) 1, pp. 62-76
The aim of artificial intelligence is to discover mechanisms of adaptation in a changing environment with utilisation of intelligence, for instance in the ability to exclude unlikely solutions. Artificial intelligence methods have extensive application in different fields such as medicine,...
Persistent link: https://www.econbiz.de/10010665490
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SZÖVEGOSZTÁLYOZÁSI MÓDSZEREK A WEKA ADATBÁNYÁSZATI SZOFTVER SEGÍTSÉGÉVEL
Subecz, Zoltán - In: Acta Carolus Robertus 03 (2013) 1
A tanulmányban a Weka adatbányászati szoftver használata és a szövegosztályozás alapelvei kerülnek bemutatásra. Egy gyakorlati példán keresztül, amiben Internetről letöltött 4000 db ingatlanhirdetési szöveget dolgoztam fel, több szövegosztályozási módszert megvizsgáltam....
Persistent link: https://www.econbiz.de/10011070298
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Comparison of Three Classification Algorithms for Predicting Pm2.5 in Hong Kong Rural Area
Zhao, Yin; Hasan, Yahya Abu - In: Journal of Asian Scientific Research 3 (2013) 7, pp. 715-728
Data mining is an approach to discover knowledge from large data. Pollutant forecasting is an important problem in the environmental sciences. This paper tries to use data mining methods to forecast fine particles (PM2.5) concentration level in a new town of Hong Kong rural area. There are...
Persistent link: https://www.econbiz.de/10010883684
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Active Feature-Value Acquisition
Saar-Tsechansky, Maytal; Melville, Prem; Provost, Foster - In: Management Science 55 (2009) 4, pp. 664-684
Most induction algorithms for building predictive models take as input training data in the form of feature vectors. Acquiring the values of features may be costly, and simply acquiring all values may be wasteful or prohibitively expensive. Active feature-value acquisition (AFA) selects features...
Persistent link: https://www.econbiz.de/10009214255