By Tomasz Sitarek, Wladyslaw Homenda (auth.), Ngoc-Thanh Nguyen, Kiem Hoang, Piotr Jȩdrzejowicz (eds.)
The volumes set LNCS 7653 and 7654 constitutes the refereed lawsuits of the 4th foreign convention on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh urban, Vietnam, in November 2012.
The 113 revised complete papers provided have been conscientiously reviewed and chosen from 397 submissions. The papers are equipped in topical sections on (Part I) wisdom integration; facts mining for collective processing; fuzzy, modal, and collective platforms; nature encouraged platforms; language processing platforms; social networks and semantic net; agent and multi-agent platforms; category and clustering equipment; modeling and optimization ideas for company intelligence; (Part II) multi-dimensional facts processing; net platforms; clever selection making; equipment for scheduling; collective intelligence in net structures – net structures research; complex facts mining suggestions and functions; cooperative challenge fixing; computational swarm intelligence; and semantic equipment for wisdom discovery and communication
Read Online or Download Computational Collective Intelligence. Technologies and Applications: 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part II PDF
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Additional info for Computational Collective Intelligence. Technologies and Applications: 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part II
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It is a basic step in finding the associations among items (parameters or values). For example, the retail transaction is aimed at searching the association between the most frequent items that are bought together. By understanding the customers’ behavior, it can help the management to design promotional strategies, determine potential buyers, increase profit-sales etc. This type of pattern is also known as frequent patterns. Apriori [1] was the first algorithm to capture sets of frequently bought products at stores.
A − B| is second or third ⇒ no octave sign (even if o(A) = o(B)) 2. |A − B| is fourth or fifth ⇒ (octave sign ⇔ o(A) = o(B)) 3. |A − B| is sixth or more ⇒ octave sign (even if o(A) = o(B)) Because of the subrule 2. some notes may loose octave sign, and some other notes may require octave sign after transposition. The necessity of the octave sign addition implies the need of knowledge of this note’s octave and this implies semantics. 1 Performing Transposition in the Space of Sounds As was stated above, transposition is inner operation that requires semantics in case of Braille music.
Once a new line of transaction is triggered, DOSTrieIT data structure is immediately constructed. In other words, EFP-M2: Efficient Model for Mining Frequent Patterns in Transactional Database 33 it is an online or instant tree construction. Generate Prefix Path is the second subprocess at this level. Items in the line of transaction are separated to form a vertical format of an itemset. The itemset is then transformed into DOSTrieIT. The third sub-process is Extend Prefix Path. The size of the existing prefix paths in terms of the nodes may involve with some modification.