Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning [0.03%]
特刊征稿通知：数据挖掘和机器学习中的评估与实验设计
Eirini Ntoutsi,Erich Schubert,Arthur Zimek et al.
Eirini Ntoutsi et al.
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems [0.03%]
用于预测密集流体-颗粒系统中的阻力的物理引导深度学习方法
Nikhil Muralidhar,Jie Bu,Ze Cao et al.
Nikhil Muralidhar et al.
Physics-based simulations are often used to model and understand complex physical systems in domains such as fluid dynamics. Such simulations, although used frequently, often suffer from inaccurate or incomplete representations either due t...
Quantifying Insurance Agency Channel Dynamics Using Premium Sales Big Data and External Factors [0.03%]
利用保费销售收入大数据及外部因素量化保险公司渠道动态过程
Erdem Kaya,Eray Alpan,Selim Balcisoy et al.
Erdem Kaya et al.
In insurance business, product sales can be realized over a variety of channels such as independent agencies, or bank branches. In 2017, 55% of premium production was generated over insurance agencies in Turkey making independent agency eva...
Finding Path Motifs in Large Temporal Graphs Using Algebraic Fingerprints [0.03%]
在大型时态图中使用代数指纹查找路径模体
Suhas Thejaswi,Aristides Gionis,Juho Lauri
Suhas Thejaswi
We study a family of pattern-detection problems in vertex-colored temporal graphs. In particular, given a vertex-colored temporal graph and a multiset of colors as a query, we search for temporal paths in the graph that contain the colors s...
The Coming of Age for Big Data in Systems Radiobiology, an Engineering Perspective [0.03%]
系统辐射生物学中大数据的成熟，一个工程学视角
Christos Karapiperis,Anastasia Chasapi,Lefteris Angelis et al.
Christos Karapiperis et al.
As high-throughput approaches in biological and biomedical research are transforming the life sciences into information-driven disciplines, modern analytics platforms for big data have started to address the needs for efficient and systemat...
A Convolutional Neural Network to Perform Object Detection and Identification in Visual Large-Scale Data [0.03%]
用于在大规模视觉数据中执行对象检测和识别的卷积神经网络
Riadh Ayachi,Yahia Said,Mohamed Atri
Riadh Ayachi
In recent years, big data became a hard challenge. Analyzing big data needs a lot of speed precision combination. In this article, we describe a deep learning-based method to deal with big data with a focus on precision and speed. In our ca...
Call for Special Issue Papers: Programming Models and Algorithms for Big Data [0.03%]
特刊征文：大数据的编程模型与算法
Fadi Al-Turjman (Lead Guest Editor),Walaa Hamouda,Shahid Mumtaz
Fadi Al-Turjman (Lead Guest Editor)
Mandana Saebi,Giovanni Luca Ciampaglia,Lance M Kaplan et al.
Mandana Saebi et al.
Representation learning on networks offers a powerful alternative to the oft painstaking process of manual feature engineering, and, as a result, has enjoyed considerable success in recent years. However, all the existing representation lea...
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning [0.03%]
特刊征文通知：数据挖掘与机器学习中的评估与实验设计
Eirini Ntoutsi,Erich Schubert,Arthur Zimek et al.
Eirini Ntoutsi et al.
MRS-DP: Improving Performance and Resource Utilization of Big Data Applications with Deadlines and Priorities [0.03%]
具有时限和优先级的MRS-DP：提高大数据应用程序的性能和资源利用率
Utsav Upadhyay,Geeta Sikka
Utsav Upadhyay
This article proposes the MapReduce scheduler with deadline and priorities (MRS-DP) scheduler capable of handling jobs with deadlines and priorities. Big data have emerged as a key concept and revolutionized data analytics in the present er...