Introduction to the first issue of social network analysis and mining journal
N Memon, R Alhajj - Social Network Analysis and Mining, 2011 - Springer
Social networks are gaining popularity swiftly and research on social networks is rapidly
growing into wellestablished multidisciplinary area which has attracted the attention of …
growing into wellestablished multidisciplinary area which has attracted the attention of …
A Conversation with Professors Deyi Li and Jie Tang
D Li, J Tang - ACM SIGKDD Explorations Newsletter, 2012 - dl.acm.org
Roughly speaking, Chinese KDD research mainly underwent three stages. It was in 1993
when National Science Foundation of China (NSFC) started to sponsor research on …
when National Science Foundation of China (NSFC) started to sponsor research on …
[PDF][PDF] ASSOCIATION RULE MINING ON SOCIAL NON-STRUCTURED DATA USING CLUSTERING AND GRAPH DATABASES
A Campi, C Palese - academia.edu
We currently live in the big data era, in which user-generated content is more than we can
analyze day to day in real time because of noise, dynamism and size, without a systematic …
analyze day to day in real time because of noise, dynamism and size, without a systematic …
Social Semantic Web Mining and Big Data Analytics
CSR Prabhu, AS Chivukula, A Mogadala… - Big Data Analytics …, 2019 - Springer
Social Semantic Web Mining and Big Data Analytics | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
[引用][C] Mining High Quality Insights in Social Media Data using Machine Learning Methods
L Masuch, H Muszynski, B Raethlein
Mining social media with social theories: a survey
The increasing popularity of social media encourages more and more users to participate in
various online activities and produces data in an unprecedented rate. Social media data is …
various online activities and produces data in an unprecedented rate. Social media data is …
Mining on social networks
B Chapus, FF Soulié, E Marcadé… - Statistical Learning and …, 2011 - api.taylorfrancis.com
The basic assumption in data mining is that observations are iid (independent and
identically distributed), which is often not the case when observations are not independent …
identically distributed), which is often not the case when observations are not independent …
Web Data Mining: Extracting From'Big Data'
AK Siddiqui - COMPUTING TRENDZ, 2015 - journals.smsvaranasi.com
Being an interdisciplinary subject of study Data Mining has become new and curious subject
among researchers. As our capabilities of both generating and collecting data have been …
among researchers. As our capabilities of both generating and collecting data have been …
Evaluation and development of data mining tools for social network analysis
D Murthy, A Gross, A Takata, S Bond - Mining Social Networks and …, 2013 - Springer
This chapter reviews existing data mining tools for scraping data from heterogeneous online
social networks. It introduces not only the complexities of scraping data from these sources …
social networks. It introduces not only the complexities of scraping data from these sources …