نتایج جستجو برای: staleness

تعداد نتایج: 163  

Journal: :Knowl.-Based Syst. 2012
Asad Masood Khattak Zeeshan Pervez Khalid Latif Sungyoung Lee

Mappings are established among ontologies for resolving the terminological and conceptual incompatibilities among information networks and information systems. Accommodating new knowledge in domain ontology causes the ontology to change from one consistent state to another. This consequently makes existing mappings among ontologies unreliable and stale due to the changes in resources. Mapping e...

2007
Michal Shmueli-Scheuer Amitabh Chaudhary Avigdor Gal Chen Li

We study how to reduce costs in client-server web based applications with dynamic data on the server. Client-side caching can help mitigate costs because the client can use the cached data to answer queries. Allowing some tolerance on the data staleness to answer queries makes it possible to significantly reduce costs. For example, if the user can tolerate data that was received 2 hours ago, we...

Journal: :Journal of The Institute of Brewing 2022

Beer inevitably changes over time: the colour will darken, haze may form, and stale flavours develop, while others fade. The challenge of maintaining fresh flavour quality beer (over a typical 9-12 month storage period) is generally determining factor beer's shelf-life for brewers, as opposed to colloidal or microbiological stability. Fortunately, early brewhouse, oxidative degradation can - ce...

Journal: :Journal of Food Quality 2022

Quan-xing Baijiu, a famous brand with different style characteristics from traditional strong-aroma is considered superior due to its “jiao-xiang” (caramel) flavor and the “he-run” (soft, moistening, harmonious) style. In this study, gas chromatography-olfactometry (GC-O) was used analyze special flavors of Baijiu. The fingerprints six Baijiu were determined using fragrance, taste, entirety in ...

2012
P. Satya Prakash P. Jhansi Lakshmi B. L Krishna

Classification is one of the most efficient and widely used data mining technique. In classification, Decision trees can handle high dimensional data, and their representation is intuitive and generally easy to assimilate by humans. Decision trees handle the data whose values are certain. We extend such classifiers i.e, decision trees to handle uncertain information. Value uncertainty arises in...

2002
Hei-Wing Leung Joe Chun-Hung Yuen Kam-yiu Lam Edward Chan

In this paper, we study the data dissemination problem in time-constrained mobile computing systems (TCMCS) in which maximizing data currency (minimizing staleness) and meeting transaction deadlines are of equal importance as providing consistent data items to transactions. We first investigate what are the performance problems of the multi-version data (MV) broadcast technique when it is used ...

2002
Henrik Engström Sharma Chakravarthy Brian Lings

Most work on data warehousing addresses aspects related to the internal operation of a data warehouse server, such as selection of views to materialise, maintenance of aggregate views and performance of OLAP queries. Issues related to data warehouse maintenance, i.e. how changes to autonomous sources should be detected and propagated to a warehouse, have been addressed in a fragmented manner. A...

2001
Mahesh K. Marina Samir Ranjan Das

On-demand routing protocols for mobile ad hoc networks utilize route caching in different forms in order to reduce the routing overheads as well as to improve the route discovery latency. For route caches to be effective, they need to adapt to frequent topology changes. Using an ondemand protocol called “Dynamic Source Routing” (DSR), we study the problem of keeping the caches up-to-date in dyn...

1999
Athena Vakali

Caching is a standard solution to the problem of insuf cient bandwidth caused by the rapid increase of in formation circulation across the Internet Cache con sistency mechanisms are a crucial component of each cache scheme in uencing the cache usefulness and re liability This paper presents a model for optimizing Internet cache content by the use of a genetic algo rithm and examines the model b...

HET

Journal: :Proceedings of the VLDB Endowment 2021

Embedding models have been an effective learning paradigm for high-dimensional data. However, one open issue of embedding is that their representations (latent factors) often result in large parameter space. We observe existing distributed training frameworks face a scalability since updating and retrieving the shared parameters from servers usually dominates cycle. In this paper, we propose HE...

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