Search Results - subject:"Data mining."

Machine-part cell formation using biclustering

Boutsinas, Basilis - In: European Journal of Operational Research 230 (2013) 3, pp. 563-572

Cellular manufacturing is the cornerstone of many modern flexible manufacturing techniques, taking advantage of the similarities between parts in order to decrease the complexity of the design and manufacturing life cycle. Part-Machine Grouping (PMG) problem is the key step in cellular...

Persistent link: https://www.econbiz.de/10010679111

Analysis of available software products in the North American cabinet industry

Hewitt, Richard; Sowlati, Taraneh; Paradi, Joseph C. - In: International Journal of Applied Management Science 5 (2013) 3, pp. 281-296

The effective use of information technology (IT) is increasingly important to remain competitive in modern manufacturing. In general, wood products industries are slower in adopting IT, which may erode their long-term competitiveness. Using cluster analysis, this study evaluates the...

Persistent link: https://www.econbiz.de/10010682869

Mining Closed Sequential Patterns in Progressive Databases

Subramanyam, R. B. V.; Rao, A. Suresh; Karnati, Ramesh; … - In: Journal of Information & Knowledge Management (JIKM) 12 (2013) 03, pp. 1350024-1

Previous studies of Mining Closed Sequential Patterns suggested several heuristics and proposed some computationally effective techniques. Like, Bidirectional Extension with closure checking schemas, Back scan search space pruning, and scan skip optimization used in BIDE (BI-Directional...

Persistent link: https://www.econbiz.de/10010688367

Data Mining – Trends and Challenges

Stancu, Ana-Maria Ramona; Apetrei, Marius-Cristian - In: Knowledge Horizons - Economics 5 (2013) 2, pp. 193-196

The paper describes the concept of Data Mining and its origin.. Data mining is a process of analyzing data in order to …

Persistent link: https://www.econbiz.de/10010700094

Methods for Extracting Knowledge

Stancu, Ana-Maria Ramona; Dragut, Bogdanel Marian; … - In: Knowledge Horizons - Economics 5 (2013) 2, pp. 201-204

The paper describes some methods of extracting knowledge from large amounts of data, and also the concepts of classification, regression and clustering. In terms of classification, it describes some of the techniques and methods, namely the decision trees, the Bayesian method, k-NN, etc. The...

Persistent link: https://www.econbiz.de/10010700137

Macroeconomic Variables and South African Stock Return Predictability

Gupta, Rangan; Modise, Mampho P. - In: Economic Modelling 30 (2013) C, pp. 612-622

susceptible to data mining. To guard against this, we employ a bootstrap procedure to construct critical values that account for … data mining. Further, we use a procedure that combines the in-sample general-to-specific model selection with tests of out …. When accounting for data mining, both the in-sample and the out-of-sample test statistics for both the individual …

Persistent link: https://www.econbiz.de/10010608280

Patterns in stock market movements tested as random number generators

Doyle, John R.; Chen, Catherine H. - In: European Journal of Operational Research 227 (2013) 1, pp. 122-132

This paper shows that tests of Random Number Generators (RNGs) may be used to test the Efficient Market Hypothesis (EMH). It uses the Overlapping Serial Test (OST), a standard test in RNG research, to detect anomalous patterns in the distribution of sequences of stock market movements up and...

Persistent link: https://www.econbiz.de/10010608512

Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China

Liu, Xiaojing; Zhang, Jiquan; Ma, Donglai; Bao, Yulong; … - In: Natural Hazards 65 (2013) 3, pp. 1393-1409

from sky, ground and space. The risk indexes were divided into four classes by data mining method, and the grade maps of …

Persistent link: https://www.econbiz.de/10010758895

Customer value assessment of pharmaceutical marketing in Taiwan

Chuang, Yi-Fei; Chia, Shui-Hui; Yih Wong, Jehn - In: Industrial Management & Data Systems 113 (2013) 9, pp. 1315-1333

Purpose – The purpose of this study is to provide a data mining approach for classifying Taiwanese healthcare …

Persistent link: https://www.econbiz.de/10014825350

Innovation as a nonlinear process, the scientometric perspective, and the specification of an 'innovation opportunities explorer'

Leydesdorff, Loet; Rotolo, Daniele; Nooy, Wouter de - In: Technology analysis & strategic management 25 (2013) 6, pp. 641-653

Persistent link: https://www.econbiz.de/10010193729