[图书][B] Data science: concepts and practice

V Kotu, B Deshpande - 2018 - books.google.com
Learn the basics of Data Science through an easy to understand conceptual framework and
immediately practice using RapidMiner platform. Whether you are brand new to data …

[图书][B] Predictive analytics and data mining: concepts and practice with rapidminer

V Kotu, B Deshpande - 2014 - books.google.com
Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining
through an easy to understand conceptual framework and immediately practice the concepts …

Unsupervised clickstream clustering for user behavior analysis

G Wang, X Zhang, S Tang, H Zheng… - Proceedings of the 2016 …, 2016 - dl.acm.org
Online services are increasingly dependent on user participation. Whether it's online social
networks or crowdsourcing services, understanding user behavior is important yet …

You are how you click: Clickstream analysis for sybil detection

G Wang, T Konolige, C Wilson, X Wang… - 22nd USENIX security …, 2013 - usenix.org
Fake identities and Sybil accounts are pervasive in today's online communities. They are
responsible for a growing number of threats, including fake product reviews, malware and …

Beyond DCG: user behavior as a predictor of a successful search

A Hassan, R Jones, KL Klinkner - … conference on Web search and data …, 2010 - dl.acm.org
Web search engines are traditionally evaluated in terms of the relevance of web pages to
individual queries. However, relevance of web pages does not tell the complete picture …

Recognizing human behaviours in online social networks

F Amato, A Castiglione, A De Santo, V Moscato… - Computers & …, 2018 - Elsevier
Abstract Online Social Networks (OSNs) have become a primary area of interest for cutting-
edge cybersecurity applications, due to their ever increasing popularity and to the variety of …

Characterizing and forecasting user engagement with in-app action graph: A case study of snapchat

Y Liu, X Shi, L Pierce, X Ren - Proceedings of the 25th ACM SIGKDD …, 2019 - dl.acm.org
While mobile social apps have become increasingly important in people's daily life, we have
limited understanding on what motivates users to engage with these apps. In this paper, we …

Representation of click-stream datasequences for learning user navigational behavior by using embeddings

E Olmezogullari, MS Aktas - … Conference on Big Data (Big Data …, 2020 - ieeexplore.ieee.org
User behavior can be identified by clustering the web-site navigational patterns expressed
by clickstream sequences. Representation of clickstream sequences is yet a challenging …

Clickstream user behavior models

G Wang, X Zhang, S Tang, C Wilson, H Zheng… - ACM Transactions on …, 2017 - dl.acm.org
The next generation of Internet services is driven by users and user-generated content. The
complex nature of user behavior makes it highly challenging to manage and secure online …

Early detection of user exits from clickstream data: A Markov modulated marked point process model

T Hatt, S Feuerriegel - Proceedings of The Web Conference 2020, 2020 - dl.acm.org
Most users leave e-commerce websites with no purchase. Hence, it is important for website
owners to detect users at risk of exiting and intervene early (eg, adapting website content or …