10 Challenging Problems in Data Science ResearchYang, QiangWu, Xindong
You may have heard from various people thatdata science competitions are a good way to learn data science, but they are not as useful in solving real world data science problems.Why do you think this is the case? One of the differences lies in the quality of data that has been provided....
Summary: Optimization-based classification approaches have well been used for decision making problems, such as classification in data mining. It considers... N Yan,Z Chen,L Rong,... - 《Lecture Notes in Computer Science》 被引量: 5发表: 2008年 加载更多研究...
ResearchGate urn.kb.se mendeley.com uu.diva-portal.org scienceopen.com 引证文献Distress About Sex: A National Survey of Women in Heterosexual Relationships As a consequence of the impact of Viagra on male sexual dysfunction, considerable attention is now being paid to sexual dysfunctions in women,...
IoT is still in its infancy, and the number of devices, wearables, appliances and vehicles equipped with sensors and IP addresses is expanding at a rate beyond compare. To battle this discrepancy, businesses must invest in the architecture of systems and processes to support their IoT ...
The Traveling Salesman Problem (TSP) is one of the most widely studied problems in computer science research. There are many variations of the TSP but, informally, the problem is to find the shortest path that visits every city in a given set of cities exactly once. If you look at Figure...
The Traveling Salesman Problem (TSP) is one of the most widely studied problems in computer science research. There are many variations of the TSP but, informally, the problem is to find the shortest path that visits every city in a given set of cities...
Problems and Countermeasures of Intelligent Transportation under the background of Big Data The advent of the Internet and the era of big data, accompanied by the rapid development of information technology has had a huge impact on intelligent tra... X Liu - 《Highlights in Science Engineering &...
Unlike R, Python was not built from the ground up with data science in mind, but there are plenty of third party libraries to make up for this. A much more exhaustive list of packages can be found later in this document, but these four packages are a good set of choices to start you...
Data Science Techniques for Law and Justice: Current State of Research and Open Problems By comparing the state of research in Legal Analysis to the needs of legal agents, we extract four fundamental problems and discuss how they are covered by the current best approaches. In particular, we rev...