Recently, there has been an explosive generation of streaming data in various fields such as
IoT and network attack detection, medical data monitoring, and financial trend analysis …

Time series data mining becomes an active research area due to the rapid proliferation of
temporal-dependent applications. Dimensionality reduction and uncertainty handling play a …

In order to rapidly process large amounts of sensor stream data, it is effective to extract and
use samples that reflect the characteristics and patterns of the data stream well. In this …

In the context of Big Data, complex data from heterogeneous and distributed sources is
potentially unlimited in number. The analysis of these data is now at the center of the …

Abstract Social Network Analysis has become a core aspect of analyzing networks today. As
statistics blended with computer science gave rise to data mining in machine learning, so is …

Nowadays, despite the enormous computing capacity that has become available, large-
scale data computing applications continue to exceed available resources. Furthermore …

본 논문에서는 KSample 의 균일신뢰도 (uniformity confidence) 향상 문제를 다룬다. 비율 고정
샘플링 방법인 KSample 은 슬롯 단위로 하나의 샘플 원소를 추출하는 단순한 방법으로 샘플 …

요 약최근 IoT (Internet of things), SNS (social network service) 등 여러 분야에서 대용량
데이터 스트림이 빠르게 생성되고 있다. 데이터 스트림을 모두 분석하는 것은 비효율적이므로 …