Titlebook: Web Technologies and Applications; 18th Asia-Pacific We Feifei Li,Kyuseok Shim,Guanfeng Liu Conference proceedings 2016 Springer Internatio

Magisterial

A Data Grouping CNN Algorithm for Short-Term Traffic Flow Forecastingapproach includes the consideration of spatial relations between traffic locations, and utilizes such information to train a convolutional neural network for forecasting. There are three advantages of our approach: (1) the spatial relations of traffic flow are adopted; (2) high-quality features are

作嘔

Near-Duplicate Web Video Retrieval and Localization Using Improved Edit Distanceringement and search result redundancy. To solve the issues, this paper proposes a filter-and-refine framework for near-duplicate video retrieval and localization. By regarding video sequences as strings, Edit distance is used and improved in the approach. Firstly, bag-of-words (BOW) model is utiliz

MOT

Efficient Evaluation of Shortest Travel-Time Path Queries in Road Networks by Optimizing Waypoints iion-based services (LBS). However, not every LBS provider has adequate resources to compute/estimate travel time for routes by themselves. A cost-effective way for LBS providers to estimate travel time for routes is to issue external requests to Web mapping services (e.g., Google Maps, Bing Maps, an

鋪子

Efficient Group Top-, Spatial Keyword Query Processingaining in prevalence. Given a spatial location and a set of keywords, a top-. spatial keyword query returns the . best spatio-textual objects ranked according to their proximity to the query location and relevance to the query keywords. To our knowledge, existing study on spatial keyword query proce

受辱

Discovering Companion Vehicles from Live Streaming Traffic Datatreaming traffic data, called Automatic Number Plate Recognition (ANPR) data, this paper proposes an approach to discover companion vehicles. Compared to related approaches, we transform the companion discovery into a frequent sequence-mining problem. We make several improvements on top of a recent

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Learn to Recommend Local Event Using Heterogeneous Social Networksse of the users and events in EBSNs, it is necessary to recommend event to users. Taking full advantage of social networks information can significantly improve predictive accuracy in recommender systems. The intuition here is that the user’s response to events are determined by his/her instinct and

MAIM

Time-Constrained Sequenced Route Query in Indoor Spaceslled .-.. A TCSR query returns a route consisting of a sequence of indoor locations before a given deadline such that each location matches a given location type as well as a given stay-time period. Such queries are popular in indoor spaces, e.g., in a business center, people may want to first stay

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