Titlebook: Big Data Analytics; 5th International Co P. Krishna Reddy,Ashish Sureka,Subhash Bhalla Conference proceedings 2017 Springer International P

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A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditionsl Department (IMD). The extent of reuse has been computed by considering 30?years of weather data from Rajendranagar, Hyderabad, Telangana State, based on the weather categories data provided by IMD. The reuse over 30?years is computed by considering the period of year and crop seasons of a year. Pe

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Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challengesypes of data. The benefits of this modeling in terms of ease, understanding, and usage are highlighted. However, this model brings with it a new set of challenges for its analysis. The bulk of the paper discusses these challenges and the advantages of using this approach. With the right tools, both

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Temporal Topic Modeling of Scholarly Publications for Future Trend Forecastingr improved prediction. To predict the popularity of a topic in the near future, time series analysis based on a set of topic vectors is performed. For experimental validation of the proposed approach, a dataset composed of 17?years worth of computer science scholarly articles, published through stan

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Trip Planning and Scheduling Queries in Spatial Databases: A Surveylve more than one user and POIs of multiple types, and more importantly, the query answer is evaluated from a huge POI database. In this survey, we give an overview of the state of the art approaches for processing trip planning and scheduling queries. We compare these approaches from different angl