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Titlebook: Web Information Systems Engineering -- WISE 2014; 15th International C Boualem Benatallah,Azer Bestavros,Yanchun Zhang Conference proceedin

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樓主: 決絕
31#
發(fā)表于 2025-3-26 21:23:12 | 只看該作者
Wei Chen,Lei Zhao,Xu Jiajie,Kai Zheng,Xiaofang Zhourefers to ways of characterizing the mechanism or system behind the observed sig- nal/data. Such an identification allows one to predict the system outputs, and as a result this has considerable impact in several areas such as speech processing, pattern recognition, target identification, seismology
32#
發(fā)表于 2025-3-27 03:59:23 | 只看該作者
Guohui Li,Changyin Luo,Jianjun Liarifen und der Frachtberech- nung für: - Güterfernverkehr (GFT) - Güternahverkehr (GNT) Ei. senbahn-Güterverkehr (DEGT) - Luftfracht (T ACT) Seeschiffahrt Binnenschiffahrt (FTB). Es führt übersichtlich in die einzelnen Tarife ein, nennt die Frachtberechnungsgrundlagen und Besonderheiten der verschie
33#
發(fā)表于 2025-3-27 06:03:40 | 只看該作者
34#
發(fā)表于 2025-3-27 13:21:19 | 只看該作者
35#
發(fā)表于 2025-3-27 14:10:23 | 只看該作者
Coupled Item-Based Matrix Factorizationrization (MF), mainly rely on the user-item rating matrix, which sometimes is not informative enough for predicting recommendations. To solve these challenges, the objective item attributes are incorporated as complementary information. However, most of the existing methods for inferring the relatio
36#
發(fā)表于 2025-3-27 20:48:33 | 只看該作者
37#
發(fā)表于 2025-3-27 23:35:48 | 只看該作者
38#
發(fā)表于 2025-3-28 05:47:43 | 只看該作者
A Unified Model for Community Detection of Multiplex Networkstworks. Most approaches aggregate all the links in different simplex networks treating them as being equivalent. However, such aggregation might ignore information of importance in simplex networks. In addition, for each simplex network, the aggregation only considers adjacency relation among nodes,
39#
發(fā)表于 2025-3-28 10:16:10 | 只看該作者
40#
發(fā)表于 2025-3-28 10:45:40 | 只看該作者
Mining Domain-Specific Dictionaries of Opinion Words the easy access of data through conventional or intelligent crawlers. In order to utilize this information, algorithms make extensive use of word sets with known polarity. This approach is known as dictionary-based sentiment analysis. Such dictionaries are available for the English language. Unfort
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