By Tomasz Sitarek, Wladyslaw Homenda (auth.), Ngoc-Thanh Nguyen, Kiem Hoang, Piotr Jȩdrzejowicz (eds.)
The volumes set LNCS 7653 and 7654 constitutes the refereed complaints of the 4th overseas convention on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh urban, Vietnam, in November 2012.
The 113 revised complete papers awarded have been conscientiously reviewed and chosen from 397 submissions. The papers are geared up in topical sections on (Part I) wisdom integration; information mining for collective processing; fuzzy, modal, and collective structures; nature encouraged platforms; language processing platforms; social networks and semantic net; agent and multi-agent structures; class and clustering equipment; modeling and optimization strategies for enterprise intelligence; (Part II) multi-dimensional facts processing; internet platforms; clever selection making; equipment for scheduling; collective intelligence in net structures – net structures research; complicated facts mining recommendations and purposes; cooperative challenge fixing; computational swarm intelligence; and semantic equipment for wisdom discovery and communication
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Extra resources for Computational Collective Intelligence. Technologies and Applications: 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part II
The fourth sub-process is Sort Frequent Itemset. The frequent itemset is sorted in support descending order. Intersection Operation is the fourth sub-process. All itemsets involved in this operation are converted to hash based data structure. The last sub-process is Intersected Itemset. The output from the previous intersection operation is an intersected Itemset. The order of the items in intersected itemset is following the items in frequent itemset (iv) Construct FP-Tree*: The third component is to construct FP-Tree based on the particular prefix paths format supplied from the previous component.
LNCS, vol. 4950, pp. 154–175. Springer, Heidelberg (2008) 14. : New views on multivariable spatiotemporal data: the space time cube expanded. In: International Symposium on Spatio-temporal Modelling, Spatial Reasoning, Analysis, Data Mining and Data Fusion, vol. XXXVI, pp. 199–201 (2005) 15. : An integrated approach for visual analysis of a multi-source moving objects knowledge base. International Journal of Geographical Information Science 24(9), 1–16 (2010) 16. : It’s About Time: A Conceptual Framework for the Representation of Temporal Dynamics in Geographic Information Systems.
Journal of Visual Languages and Computing 23, 213–232 (2011) 3. : Challenging problems of geospatial visual analytics. Editorial/Journal of Visual Languages and Computing 22, 251–256 (2011) 4. : Space, time and visual analytics. International Journal of Geographical Information Science 24(10), 1577–1600 (2010) 5. : Dynamic Time Transformation for Interpreting Clusters of Trajectories with Space-Time Cube. V. Tran 6. : Visual Analytics for Geographic Analysis, Exemplified by Different Types of Movement Data.