Titlebook: Databases Theory and Applications; 25th Australasian Da Hua Wang,Mohamed A. Sharaf Conference proceedings 2014 Springer International Publi

膠狀

Cervical-Spine

Semi-supervised Learning for Cyberbullying Detection in Social Networks,tudies on cyberbullying detection are mainly supervised learning approaches, assuming data is sufficiently pre-labelled. However this is impractical in the real-world situation where only a small number of labels are available in streaming data. In this paper, we propose a semi-supervised leaning ap

RODE

Indurate

Split Dictionaries for In-memory Column Stores in Mixed Workload Environments,orted dictionaries allow for more efficient query processing as comparisons can be performed directly on the compressed data whereas unsorted dictionaries are faster when inserting new values..In this work, we propose a new type of dictionary compression called Split Dictionaries. These organize the

NICHE

下邊深陷

XEdge: An Efficient Method for Returning Meaningful Clustered Results for XML Keyword Search, computing methodology, in order to make full use of the structural information of XML trees to extract features. In this method, we first propose the concept of Cluster Compactness Granularity (CCG) to partition the search results into different clusters, which enable users to precisely and quickly

公社

https://doi.org/10.1007/978-3-319-08608-8algorithms; big data; clustering; data management systems; data mining; data warehousing; database design

CUB

FLING

Jun Pan,Billy Tak Ming Wong,Honghua Wangentity. Indexing techniques are used to efficiently extract a set of candidate records from the database that are similar to a query record, and that are then compared with the query record in more details. The sorted neighborhood indexing method, which sorts a database and compares records within a

Glutinous