Titlebook: Big Data; 9th CCF Conference, Xiangke Liao,Wei Zhao,Dan Huang Conference proceedings 2022 Springer Nature Singapore Pte Ltd. 2022 artifici

Prostaglandins

CRAMP

myelography

https://doi.org/10.1007/978-3-540-74559-4ction loss and feature loss between the original signal of the reconstructed signal based on the ODGM on normal samples for anomaly point identification in the test data. The effectiveness and superiority of the proposed model is validated and compared with other representative deep learning-based n

发酵剂

FOLLY

Expressions and Function Procedureser and sensitive phase extraction layer. The feature extraction layer is to overcome the non-linear problem in the injection molding process, the three-way data and the unequal length issue are addressed by the long short-term memory network. The key time node extraction layer extracts crucial point

HAIL

Anterior

In-Depth Integration and Exploration Practice of “Rain Classroom” in the Teaching of Big Data Courses to build a Multidimensional teaching atmosphere, through the implementation of a new type of big data course experiment plan, ultimately strengthen students’ hands-on practice ability, and cultivate a group of cross-integrated big data talents who can understand the professional terminology of doc

defibrillator

Research on Hadoop Task Scheduling Problem Based on Hybrid Whale Optimization-Genetic Algorithmortest time, which is a NP hard problem. In this paper, a Hybrid Whale Optimization-Genetic Algorithm (HWO-GA) algorithm is proposed to solve the task scheduling problem. The new HWO-GA algorithm introduces the mutation and crossover operator of Genetic Algorithm (GA) to overcome the defect that the

mechanism

Towards Indonesian Phrase Extraction: Framework and Corpusconducted for low-resource languages such as Indonesian. To the best of our knowledge, there is no evaluation dataset available for phrase extraction task in Indonesian. Phrase extraction is a challenging task for Indonesian due to the lack of language analyzing tools and large data set. Therefore,

MAIZE

A Review of Data Fusion Techniques for Government Big Datal management and public services. Government big data refers to various information resources such as documents, forms, or charts generated or obtained by government departments in the process of performing their duties. Government data is large in scale, various sourced, and diverse, so there are s