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Titlebook: Big Data Analytics; Third International Srinath Srinivasa,Sameep Mehta Conference proceedings 2014 Springer International Publishing Switz

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發(fā)表于 2025-3-28 16:54:56 | 只看該作者
42#
發(fā)表于 2025-3-28 19:27:25 | 只看該作者
Efficient Implementation of Web Search Query Reformulation Using Ant Colony Optimization,retrieve relevant information in the top ranked results. In this paper, term association graph is employed in order to provide query suggestion by assessing the linkage structure of the text graph constructed over a collection of documents. In addition to that, a biologically inspired model based on
43#
發(fā)表于 2025-3-29 02:20:34 | 只看該作者
SemEnAl: Using Semantics for Accelerating Environmental Analytical Model Discovery,any domains, there are far more applications whose description or implementation are available than those using service-enabled access. For example, in the environmental domain, analytical models (computational functions) are crucial to analyze collected sensor data, extrapolate them for uncovered b
44#
發(fā)表于 2025-3-29 03:40:23 | 只看該作者
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發(fā)表于 2025-3-29 09:28:42 | 只看該作者
46#
發(fā)表于 2025-3-29 12:45:42 | 只看該作者
Elections Again, Twitter May Help!!! A Large Scale Study for Predicting Election Results Using Twitut multidisciplinary topics. Nevertheless, people do talk about politics and politicians on these sites enabling us to explore the opportunity of monitoring and mining the opinions of large number of politically active population in real time. In this paper, we have tried to analyze a very famous mi
47#
發(fā)表于 2025-3-29 16:23:33 | 只看該作者
48#
發(fā)表于 2025-3-29 19:52:29 | 只看該作者
Job Routing in Multi-site Print Shop Environment,eographically distributed and multi-site service operations present challenges that are quite different from stand-alone print shops. There is a need to address other aspects for the multi-site enterprise such as optimal routing of print jobs and capacity planning. This paper presents a system that
49#
發(fā)表于 2025-3-30 01:57:21 | 只看該作者
Energy Data Analytics Towards Energy-Efficient Operations for Industrial and Commercial Consumers,hrough better understanding of their energy spend. Analysis from the high resolution energy consumption data, collected every few seconds, from smart energy meters installed at sub-load (e.g. Winding Machine, Air Handling Units (AHU), UPS system) level is presented in an easy to comprehend format fo
50#
發(fā)表于 2025-3-30 04:32:05 | 只看該作者
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