Search Results - subject:"pattern discovery"

Advancing reproducibility and accountability of unsupervised machine learning in text mining : importance of transparency in reporting preprocessing and algorithm selection

Valtonen, L.; Mäkinen, Saku J.; Kirjavainen, Johanna - In: Organizational research methods : ORM 27 (2024) 1, pp. 88-113

Persistent link: https://www.econbiz.de/10014581624

Stock index pattern discovery viaToeplitz Inverse Covariance-Based Clustering

Ouyang, Hongbing; Wei, Xiaolu; Wu, Quifeng - In: Romanian journal of economic forecasting 23 (2020) 2, pp. 58-72

Persistent link: https://www.econbiz.de/10012422442

Iglesias, Félix; Kastner, Wolfgang - In: Energies 6 (2013) 2, pp. 579-597

Forecasting and modeling building energy profiles require tools able to discover patterns within large amounts of collected information. Clustering is the main technique used to partition data into groups based on internal and a priori unknown schemes inherent of the data. The adjustment and...

Persistent link: https://www.econbiz.de/10010668083

Enhancing the Supply Chain Performance by Integrating Simulated and Physical Agents into Organizational Information Systems

Lin, Fu-ren; Lin, Shyh-ming - In: Journal of Artificial Societies and Social Simulation 9 (2006) 4, pp. 1-1

As the business environment gets more complicated, organizations must be able to respond to the business changes and adjust themselves quickly to gain their competitive advantages. This study proposes an integrated agent system, called SPA, which coordinates simulated and physical agents to...

Persistent link: https://www.econbiz.de/10004983534

A PRUNING APPROACH TO PATTERN DISCOVERY

WANG, HSIAO-FAN; CHAN, ZU-WEN - In: International Journal of Information Technology & … 07 (2008) 04, pp. 721-736

In this study, we proposed a general pruning procedure to reduce the dimension of a large database so that the properties of the extracted subset can be well defined. Since learning functions have been widely applied, we take this group of functions as an example to demonstrate the proposed...

Persistent link: https://www.econbiz.de/10004971671

A FAST TECHNIQUE FOR DERIVING FREQUENT STRUCTURED PATTERNS FROM BIOLOGICAL DATA SETS

TERRACINA, GIORGIO - In: New Mathematics and Natural Computation (NMNC) 01 (2005) 02, pp. 305-327

In the last years, the completion of the human genome sequencing showed a wide range of new challenging issues involving raw data analysis. In particular, the discovery of information implicitly encoded in biological sequences is assuming a prominent role in identifying genetic diseases and in...

Persistent link: https://www.econbiz.de/10004977624

Pattern Discovery and Detection: A Unified Statistical Methodology

Hand, David; Bolton, Richard - In: Journal of Applied Statistics 31 (2004) 8, pp. 885-924

the paper, the data mining community has tended to focus on the algorithmic aspects of pattern discovery, and has not … striking characteristics of work on pattern discovery is that the ideas have been developed in several theoretical arenas, and … model building, pattern discovery is fundamentally an inferential activity, and is an area in which statisticians can make …

Persistent link: https://www.econbiz.de/10005278946

Pattern Discovery and Computational Mechanics

Shalizi, Cosma Rohilla; Crutchfield, James P. - Santa Fe Institute - 2000

Computational mechanics is a method for discovering, describing and quantifying patterns, using tools from statistical physics. It contructs optimal, minimal models of stochastic processes and their underlying causal structures. These models tell us about the intrinsic computation embedded...

Persistent link: https://www.econbiz.de/10005790858