Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

年份：2016 · DOI：10.1145/2939672 · 被引用次数：6525 · 研究领域：Big Data and Business Intelligence、Data Mining Algorithms and Applications

It is our great pleasure to welcome you to the 2016 ACM Conference on Knowledge Discovery and Data Mining -- KDD'16. We hope that the content and the professional network at KDD'16 will help you succeed professionally by enabling you to: identify technology trends early; make new/creative contributions; increase your productivity by using newer/better tools, processes or ways of organizing teams; identify new job opportunities; and hire new team members. We are living in an exciting time for our profession. On the one hand, we are witnessing the industrialization of data science, and the emergence of the industrial assembly line processes characterized by the division of labor, integrated processes/pipelines of work, standards, automation, and repeatability. Data science practitioners are organizing themselves in more sophisticated ways, embedding themselves in larger teams in many industry verticals, improving their productivity substantially, and achieving a much larger scale of social impact. On the other hand we are also witnessing astonishing progress from research in algorithms and systems -- for example the field of deep neural networks has revolutionized speech recognition, NLP, computer vision, image recognition, etc. By facilitating interaction between practitioners at large companies & startups on the one hand, and the algorithm development researchers including leading academics on the other, KDD'16 fosters technological and entrepreneurial innovation in the area ...