Titlebook: Genetic and Evolutionary Computing; Proceedings of the E Jerry Chun-Wei Lin,Jeng-Shyang Pan,Chien-Ming Chen Conference proceedings 2018 Spr

prosperity

A New Conceptual Model for Big Data Analysisdeveloped and still developing variety of methods, approaches and solutions for such big in volume, fast in velocity, versatile in variety and value in vicinity known as Big Data problems. However much has to be done concerning with Big Data analysis. Therefore, in this paper we propose a new concep

Hiatus

An Hybrid Multi-Core/GPU-Based Mimetic Algorithm for Big Association Rule Miningall and medium size databases. However, when applied on larger databases, the performance of this method becomes an important issue and current algorithms have very long execution times. Modern CPU/GPU architectures are composed of many cores, which are massively threaded and provide a large amount

Granular

Updating the Discovered High Average-Utility Patterns with Transaction Insertionemsets (HAUUBIs) based on the average-utility (AU)-list structure and the Fast UPdated (FUP) concept. The proposed algorithm divides the HAUUBIs existing in the original database and new transactions into four cases, and each case can be respectively maintained to identify the actual high average-ut

狂熱語言

Applying Image Processing Technology to Region Area Estimationy is used to capture images of the land and measure its area. The main advantage of using UAV to capture images is the higher degree of freedom; it can accord user’s operation to capture from various angles and heights to obtain more diversified information. Even taking pictures of a dangerous area,

MURKY

Trochlea

Analysis of the Dynamic Co-purchase Network Based on Image Shape Featurease network may have correlation with image shape feature. We develop a simple image shape retrieval model to automatically identify the items that the buyer would be interested. The results provide new insights into user behavior. Based on the results, we found that people would buy items which are