Titlebook: Advances in Web-Age Information Management; Second International X. Sean Wang,Ge Yu,Hongjun Lu Conference proceedings 2001 Springer-Verlag

effrontery

https://doi.org/10.1007/978-3-540-69909-5ents. The old strategy based on keywords matching often leads to low precision. This article proposes a new model called CKPU (Classifying by key Phrase Understanding) including the key sentence template, mining threshold vector, objective and, subjective discriminating. The experiment result shows

身體萌芽

Construction of Lyapunov Functions,al datasets for natural resource location, the task is to find high confidence rules even though the support may be low. In still other applications, such as the identification of agricultural pest infestations, the task is to find high confidence rules preferably while the support is still very low

重畫只能放棄

Construction of Lyapunov Functions,rated Neural Networks (SGNN), which is in turn based on both self-organizing neural network and concept formation. The complexity of the algorithm is at most O(MNlogN). With the distributed implementation the method can be easily scaled up. The method is independent of the order the web documents pr

Harbor

https://doi.org/10.1007/978-3-540-69909-5the function are displayed in details, including data transfer, concept hierarchy generalization, mining rules with negative items and the re-development of the system. We also show an example of the tool’s application in this paper. Finally, some expectations for future work are presented.

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Construction of Lyapunov Functions, important issue, how to manage and apply the mined rules effectively is the same important. This paper presents a classification rule mining management system, named SM-Classifier, which integrates the functionality of generation, querying, maintenance and application of classification rules. The a

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苦惱

Mappings Near Separatrix. Theory, generation require DTD schema matching as a core procedure. While schema matching usually relies on a human arbiter, we are aiming at an automated system that can give the arbiter a starting point for designing a matching that can best meet the requirements of the given application. We present an a

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Cognizance

https://doi.org/10.1007/978-981-13-6370-2e usually semi-structured or unstructured, the current database system need to be enhanced with the capabilities of dealing with path expressions and searching for information in text. In this paper, various index mechanisms, which can enhance the query engine of RDBMS with the capabilities of evalu

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