2016
DOI: 10.1007/s11277-016-3425-3
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WARM Based Data Pre-fetching and Cache Replacement Strategies for Location Dependent Information System in Wireless Environment

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Cited by 6 publications
(1 citation statement)
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“…The proposed schemes enhanced the recognition on both languages and reduced the relative overall error rates by 4.4% on average when dealing with real-world Mandarin-English corpus in mobile voice search. Ilayaraja et al [4] presented a weighted association rule mining prefetching technique to determine the secondary service item, with the consideration of access frequency of services, semantic distance among the successive query request, and spatial distance between service instances and user context (e.g., position, service type, and query request time). Wong et al [5] analyzed the students' vocabulary usage using a corpus analysis tool to identify and unpack the contextual conditions in which a mobile-and cloud-assisted Chinese language learning environment promoted key learning outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed schemes enhanced the recognition on both languages and reduced the relative overall error rates by 4.4% on average when dealing with real-world Mandarin-English corpus in mobile voice search. Ilayaraja et al [4] presented a weighted association rule mining prefetching technique to determine the secondary service item, with the consideration of access frequency of services, semantic distance among the successive query request, and spatial distance between service instances and user context (e.g., position, service type, and query request time). Wong et al [5] analyzed the students' vocabulary usage using a corpus analysis tool to identify and unpack the contextual conditions in which a mobile-and cloud-assisted Chinese language learning environment promoted key learning outcomes.…”
Section: Introductionmentioning
confidence: 99%