By Frédéric Boniol (auth.), Abdelmalek Amine, Ait Mohamed Otmane, Ladjel Bellatreche (eds.)
"During the final a long time Computational Intelligence has emerged and confirmed its contributions in quite a few vast examine groups (computer technology, engineering, finance, fiscal, choice making, etc.). This used to be performed via offering ways and algorithms established both on turnkey suggestions belonging to the massive panoply of recommendations provided by means of computational intelligence reminiscent of info mining, genetic algorithms, bio-inspired equipment, Bayesian networks, laptop studying, fuzzy good judgment, man made neural networks, and so forth. or encouraged through computational intelligence strategies to increase new ad-hoc algorithms for the matter lower than consideration.
This quantity is a complete choice of prolonged contributions from the 4th overseas convention on machine technological know-how and Its purposes (CIIA’2013) geared up into 4 major tracks: music 1: Computational Intelligence, song 2: protection & community applied sciences, tune three: info know-how and music four: desktops and purposes. This publication offers contemporary advances within the use and exploitation of computational intelligence in numerous actual global challenging difficulties masking those tracks resembling picture processing, Arab textual content processing, sensor and cellular networks, actual layout of complex databases, version matching, and so forth. that require complex ways and algorithms borrowed from computational intelligence for fixing them.
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This creation to computational geometry is designed for rookies. It emphasizes easy randomized equipment, constructing easy ideas with assistance from planar purposes, starting with deterministic algorithms and transferring to randomized algorithms because the difficulties turn into extra complicated. It additionally explores larger dimensional complicated purposes and offers workouts.
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Automated measurement of crowd density based on edge detection and optical flow. In: 2010 2nd International Conference on Industrial Mechatronics and Automation (ICIMA), May 30-31, vol. 2, pp. 5538248 7. : Scene understanding by statistical modeling of motion patterns. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 13-18, pp. 5539884 8. : An efficient pattern-less background modeling based on scale invariant local states. In: 2011 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), pp.
Another region-based approach was proposed in  where two regions of motion are constructed. The first is a subtraction between the current frame and it’s adjacent and the second is a subtraction between adjacent of the next frame. The difference between the regions of movement and the intersection of neighboring regions is calculated to select the candidate regions. The update is performed for regions having stable probabilities among the selected regions.  proposed a block modeling combining colors and textures to represent the background.
Classification of data and labeling are two of these strategies. Used separately each of these strategies have certain limitations. Algorithms used to support the process of automated classification influence the result. In addition, many noisy classes can be generated. On the other hand, labeling of document can help recall but it can be time consuming to find metadata. This paper presents a method that exploits the notion of association rules and maximal association rules, in order to assist textual data processing, these two strategies are combined.