By Bhargab B. Bhattacharya, Sudip Roy, Sukanta Bhattacharjee (auth.), Prosenjit Gupta, Christos Zaroliagis (eds.)
This booklet constitutes the refereed court cases of the 1st overseas convention on utilized Algorithms, ICAA 2014, held in Kolkata, India, in January 2014. ICAA is a brand new convention sequence with a undertaking to supply a top quality discussion board for researchers operating in utilized algorithms. Papers providing unique contributions with regards to the layout, research, implementation and experimental assessment of effective algorithms and knowledge constructions for issues of correct real-world purposes have been sought, preferably bridging the distance among academia and undefined. The 21 revised complete papers awarded including 7 brief papers have been conscientiously reviewed and chosen from 122 submissions.
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Additional resources for Applied Algorithms: First International Conference, ICAA 2014, Kolkata, India, January 13-15, 2014. Proceedings
In: SIGMOD (2012) 12. : Ratio threshold queries over distributed data sources. In: ICDE (2010) 13. : Online ﬁltering, smoothing and probabilistic modeling of streaming data. In: ICDE (2008) 14. : Describing complicated objects by implicit polynomials. IEEE Trans. Pattern Anal. Mach. Intell. 16(1) (1994) 15. : Shape sensitive geometric monitoring. IEEE Trans. Knowl. Data Eng. 24(8) (2012) 16. : Feature selection over distributed data streams through optimization. In: SDM (2012) 17. : Gas-phase chemistry dominates o3 loss to a forest, implying a source of aerosols and hydroxyl radicals to the atmosphere.
C Springer International Publishing Switzerland 2014 18 D. Keren et al. Geometric monitoring (GM) [22,5,11,15] has been recently proposed for handling such threshold queries over distributed data. While a more detailed presentation is deferred until Section 2, we note that GM can be applied to the important case of scoring functions f () evaluated at the average of dynamic data vectors v1 (t), . . , vn (t), maintained at n distributed nodes. Here, vi (t) is an m-dimensional data vector, often denoted as local vector, at the i-th node Ni at time t (often t will be suppressed).
It is well-known that the computational cost of general optimization routines increases at a superlinear rate with the number of variables. 5 a hierarchical clustering approach, which uses a divide-andconquer algorithm to reduce the problem to that of recursively computing safe-zones for small numbers of nodes. 2 Shape of Safe-Zones to Consider The ﬁrst step in solving an optimization problem is determining the parameters to optimize over. Here, the space of parameters is huge – all subsets of the Euclidean space are candidates for safe-zones.
Applied Algorithms: First International Conference, ICAA 2014, Kolkata, India, January 13-15, 2014. Proceedings by Bhargab B. Bhattacharya, Sudip Roy, Sukanta Bhattacharjee (auth.), Prosenjit Gupta, Christos Zaroliagis (eds.)