Titlebook: Big Data Applications and Services 2017; The 4th Internationa Wookey Lee,Carson K. Leung Conference proceedings 2019 Springer Nature Singap

靦腆

Efficient Mining of Time Interval-Based Association Rules,a into a more efficient form and then utilizes the transformed data in the subsequent steps. As a result, the input/output (I/O) cost of reading the data from disk is significantly reduced. Our experiments demonstrate the efficiency of the proposed method compared with those of the existing methods.

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Conference proceedings 2019, encouraged academic and industrial interaction, and promoted collaborative research in the field of big data worldwide. The conference was organized by the Korea Big Data Services Society and National University of Uzbekistan..

細(xì)節(jié)

TERRA

CLAMP

Monoclonal Antibodies and Hybridomas,users to collaboratively vote for their interesting patterns. Such an algorithm takes the benefits of crowdsourcing, crowdvoting and collaborative filtering for the data analytics and mining of popular constrained frequent patterns from big data applications and services.

防銹

外星人

Constrained Frequent Pattern Mining from Big Data Via Crowdsourcing,users to collaboratively vote for their interesting patterns. Such an algorithm takes the benefits of crowdsourcing, crowdvoting and collaborative filtering for the data analytics and mining of popular constrained frequent patterns from big data applications and services.

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https://doi.org/10.1007/978-1-4842-9624-0compensations for victims and lower costs to be borne by the companies. This resulted in the loss of the enterprise’s reason for investing in information security, which in turn led to an average low security level. Therefore, we analyze the cases of personal information leakage accidents in Korea and present a framework for calculating damages.

忙碌

A Framework for Calculating Damages of Personal Information Leakage Accidents,compensations for victims and lower costs to be borne by the companies. This resulted in the loss of the enterprise’s reason for investing in information security, which in turn led to an average low security level. Therefore, we analyze the cases of personal information leakage accidents in Korea and present a framework for calculating damages.