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2017年大数据BY&FOR高速成像和粒子跟踪研讨会（Workshop on Big Data BY&FOR High-Speed Imaging & Particle Tracking）
2017年 大数据BY&FOR高速成像和粒子跟踪 研讨会
2017/10/26
The future of instrument development necessitates sending out only indispensable information rather than raw data. The new framework of compressive sampling, together with automated data mining, prese...
2017西伯利亚数据科学与工程研讨会（2017 Siberian Symposium on Data Science and Engineering）
2017 西伯利亚数据科学与工程 研讨会
2017/3/9
2017 Siberian Symposium on Data Science and Engineering (SSDSE) 12-13 Apr 2017 Technopark of Novosibirsk Akademgorodok,Russia.
Connecting data scientists with regional challenges
Connecting data scientists regional challenges
2016/9/29
Today, the National Science Foundation (NSF) announced $10 million in awards to 10 "Big Data Spokes" projects to initiate research on specific topics identified by the Big Data Regional Innovation Hub...
In support of the Federal Big Data Research and Development Strategic Plan
Federal Big Data Research Development Strategic Plan
2016/5/31
"NSF has been a leader in supporting fundamental research and development in data analysis methods, techniques and tools that enhance the benefits brought to us by the data and information revolution,...
New 'machine unlearning' technique wipes out unwanted data quickly and completely
machine unlearning unwanted data quickly completely
2016/3/21
Machine learning systems are everywhere. They predict the weather, forecast earthquakes, provide recommendations based on the books and movies we like, and even apply the brakes on our cars when we’re...
From gene mapping to space exploration, humanity continues to generate ever-larger sets of data — far more information than people can actually process, manage, or understand.
Nomadic computing speeds up Big Data analytics
Nomadic computing speeds up Big Data analytics
2015/11/12
How do Netflix or Facebook know which movies you might like or who you might want to be friends with?Here's a hint: It starts with a few trillion data points and involves some complicated math and a l...
The ability to access, analyze and draw insights from massive amounts of data already drives innovation in areas ranging from medicine to manufacturing, leading to greater efficiency and a higher qual...
Data Cube Approximation and Mining using Probabilistic Modeling
data cubes OLAP data warehouses multidimensional data non-negative multi-way array factorization log-linear modeling
2015/7/29
On-line Analytical Processing (OLAP) techniques commonly used in data warehouses allow the exploration of data cubes according to different analysis axes (dimensions) and under different abstraction l...
Computational science and data visualization take the spotlight in new documentary
Computational science data visualization take the spotlight new documentary
2015/7/13
A 24-minute, high-resolution science documentary about the dynamics of the sun that features data-driven visualizations produced by the National Center for Supercomputing Applications (NCSA) at the Un...
BINLI: An Ontology-Based Natural Language Interface for Multidimensional Data Analysis
NLP BI Ontology Question Answering
2013/1/28
Current technology facilitates access to the vast amount of information that is produced every day. Both individuals and companies are active consumers of data from the Web and other sources, and thes...
Particle Filter Data Fusion Enhancements for MEMS-IMU/GPS
Micro-Electro-Mechanical-System Particle Filter Data Fusion Extended Kalman Filtering
2013/1/29
This research aims at enhancing the accuracy of navigation systems by integrating GPS and Mi-cro-Electro-Mechanical-System (MEMS) based inertial measurement units (IMU). Because of the conditions re-q...
Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machines
Support Vector Machine (SVM) Genetic Algorithm (GA) Particle Swarm Optimization (PSO) Feature Selection Optimization
2013/1/29
Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outstanding performance in high-dimensional data classification. In the process of cl...
Mobile Data Technology for Small Businesses: needs,uses and adoption
Mobile data technologies ecommerce SME
2009/12/8
The technological environment in which Australian SMEs operate can be best described as dynamic and vital. The rate of technological change provides the SME owner/manger a complex and challenging oper...
Ownership as an Issue in Data and Information Sharing: a philosophically based review
Ownership Issue philosophically
2009/12/8
It has long been an aim of information management and information systems development to enable more effective and efficient data and information sharing within organisations. A commonplace assertion ...