羊栏
发表于 2025-3-28 16:49:39
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/185599.jpg
顾客
发表于 2025-3-28 20:24:03
Tutorial : Social Media Analyticsiew the state of the art as well as present new ideas on handling common research problems like Event Detection from Social Media, Summarization, Location Inference and fusing external data sources with social data. The tutorial would assume basic knowledge of Data Mining, Text Analytics and NLP Methods.
output
发表于 2025-3-29 02:04:54
Conference proceedings 2013ysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.
自然环境
发表于 2025-3-29 04:19:35
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RUPT
发表于 2025-3-29 10:21:50
John Kingdom,Philip Baker,Eve Blairiew the state of the art as well as present new ideas on handling common research problems like Event Detection from Social Media, Summarization, Location Inference and fusing external data sources with social data. The tutorial would assume basic knowledge of Data Mining, Text Analytics and NLP Methods.
animated
发表于 2025-3-29 12:16:55
https://doi.org/10.1007/978-3-319-03689-2Twitter; complex networks; graph algorithms; machine learning; social web; algorithm analysis and problem
paleolithic
发表于 2025-3-29 19:13:26
978-3-319-03688-5Springer International Publishing Switzerland 2013
橡子
发表于 2025-3-29 23:39:02
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Abrade
发表于 2025-3-30 02:23:36
The Role of Incentive-Based Crowd-Driven Data Collection in Big Data Analytics: A Perspectivee also provide some directions about the kind of analytics that can be done on the crowd-collected data in case of different application scenarios. Furthermore, we discuss some of the open research issues in this area.
热情的我
发表于 2025-3-30 07:35:47
Discovering Quasi-Periodic-Frequent Patterns in Transactional Databasesled quasi-periodic-frequent patterns. Informally, a frequent pattern is said to be . if most of its occurrences are periodic in a database. We propose a model and a pattern-growth algorithm to discover these patterns. The proposed patterns do not satisfy the downward closure property. We have introd