清楚 发表于 2025-3-26 21:59:01
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Mining Calendar-Based Periodic Patterns in Time-Stamped Data,lgorithm, we identify full as well as partial periodic calendar-based patterns. We provide a detailed data analysis incorporating various parameters of the algorithm and make a comparative analysis with the existing algorithm, and show the effectiveness of our algorithm. Experimental results are provided on both real and synthetic databases.折磨 发表于 2025-3-27 07:08:04
is in MOOCs. In these cases, Peer Assessment, possibly mediated by a light teacher’s activity, can represent a valuable solution. The evaluation mostly involves peers, and further creates a kind of dynamics in the community of learners that evolves autonomously. Such evolution can provide further i知识分子 发表于 2025-3-27 13:29:40
Judith Terrill,William George,Terence Griffin,John Hagedorn,John Kelso,Marc Olano,Adele Peskin,Steven Satterfield,James Sims,Jeffrey Bullard,Joy Dunkers,Nicos Martys,Agnes O’Gallagher,Gillian Haemermings that computers have relative to humans in understanding the nature, importance and implications of relationships found in the literature. This chapter will discuss where current efforts have brought us in solving the open-discovery problem, and what barriers are limiting further progress.Lethargic 发表于 2025-3-27 14:56:16
Wildlife Forensic Genetics and Biodiversity Conservation: The Intersection of Science, Species Managfy deceased humans in China in the 700s. The field of wildlife forensic genetics is currently used to support wildlife law enforcement investigations. The evolution of wildlife forensic genetics closely follows the use of genetic technologies in the field of human forensic identification, with somegoodwill 发表于 2025-3-27 19:57:14
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Showing yourself,eractions among ourselves, evident as behaviour in everyday practices (variously specialised in like individuals), we affirm our sharing of knowledge. We are able to share without explaining what it is we share, without knowing whether we each have equal shares of the same knowledge.IDEAS 发表于 2025-3-28 05:53:37
Patrick Jahn,Andrea Gaisser,Christoph Rennershall argue that this happens in two ways. Firstly, because the power of the computer frees us from the low level mundane operations, so that we can (and should) consider the higher level (and more important) issues. And, secondly, because powerful statistical computer tools have essentially solved certain classes of problems.