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Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on such monitoring employ Euclidean distance to calculate the similarities between given query patterns and subse-quences of streaming time series. Euclidean distance has been shown to(More)
There is a trend that, virtually everyone, ranging from big Web companies to traditional enterprisers to physical science researchers to social scientists, is either already experiencing or anticipating unprecedented growth in the amount of data available in their world, as well as new opportunities and great untapped value. This paper reviews big data(More)
There are many entity-attribute tables on the Web that can be utilized for enriching the entities of knowledge bases (KBs). This requires the schema mapping (matching) between the Web tables and the huge KBs. Existing solutions on schema mapping are inadequate for mapping a Web table and a KB, because of many reasons such as (1) there are many duplicates of(More)
Given a set of client locations, a set of facility locations where each facility has a service capacity, and the assumptions that: (i) a client seeks service from its nearest facility; (ii) a facility provides service to clients in the order of their proximity, we study the problem of selecting all possible locations such that setting up a new facility with(More)
—The string similarity join is a basic operation of many applications that need to find all string pairs from a collection given a similarity function and a user specified threshold. Recently, there has been considerable interest in designing new algorithms with the assistant of an inverted index to support efficient string similarity joins. These(More)
Moving range query over RFID data streams is one of the most important spatio-temporal queries to support valuable information analysis. However, the location uncertainty challenges the query strategy. In this paper, we propose a probability evaluation model in the RFID-enabled monitoring environments and discuss the query optimization techniques under the(More)
The tagging technique has been widely applied in existing Web 2.0 systems, where users label resources with tags for effective classification and efficient retrieval of resources. Location-aware geographical tags (geo-tags) are required if users want to mark location-sensitive resources to digital maps. Large volumes of different kinds of user-created tags(More)
PURPOSE To investigate the modulation of nuclear factor (NF)-kappaB in light-induced photoreceptor degeneration in a mouse model. METHODS Mice were exposed to intense green light. Light-induced activation of NF-kappaB and its nuclear localization were studied by immunohistochemistry. The NF-kappaB DNA-binding activity in the retinas after exposure to(More)
Bichromatic reverse nearest neighbor (BRNN) based query uses the number of reverse nearest customers to model the influence of a facility location. The query has great potential for real life applications and receives considerable attentions from spatial database studies. In real world, facilities are inevitably constrained by designed capacities. When the(More)