Collaborate Computing: Networking, Applications and Worksharing
12th International Conference, CollaborateCom 2016, Bei**g, China, November 10–11, 2016, Proceedings
Chapter and Conference Paper
Data sparsity is a common issue in recommendation systems, particularly collaborative filtering. In real recommendation scenarios, user preferences are often quantitatively sparse because of the application na...
Chapter and Conference Paper
As Uber-like chauffeured car services become more and more popular, many drivers have joined the market without special training. To ensure the safety and efficiency of transportation services, it is an import...
Chapter and Conference Paper
Time series data is a common data type in real life, and modelling of time series data along with its underlying temporal dynamics is always a challenging job. Temporal point process is an outstanding method t...
Chapter and Conference Paper
Density-based clustering, such as Density Peak Clustering (DPC) and DBSCAN, can find clusters with arbitrary shapes and have wide applications such as image processing, spatial data mining and text mining. In ...
Chapter and Conference Paper
Invulnerable metro systems are essential for the safety and efficiency of urban transportation services. Therefore, it is of significant interest to systematically assess the vulnerability of metro systems. To...
Chapter and Conference Paper
The efficiency and scalability of online learning methods make them a popular choice for solving the learning problems with big data and limited memory. Most of the existing online learning approaches are base...
Chapter and Conference Paper
As an important research topic with well-recognized practical values, classification of social streams has been identified with increasing popularity with social data, such as the tweet stream generated by Twi...
Chapter and Conference Paper
This paper introduces a novel classification algorithm for heterogeneous domain adaptation. The algorithm projects both the target and source data into a common feature space of the class decomposition scheme ...
Chapter and Conference Paper
Since the relation is the main data shape of social networks, social spammer detection desperately needs a relation-dependent but content-independent framework. Some recent detection method transforms the soci...
Chapter and Conference Paper
Named Entity Recognition (NER) is a challenging task in Natural Language Processing. Recently, machine learning based methods are widely used for the NER task and outperform traditional handcrafted rule based ...
Chapter and Conference Paper
In this paper, we investigate whether decision trees can be used to interpret a black-box classifier without knowing the learning algorithm and the training data. Decision trees are known for their transparenc...
Book and Conference Proceedings
12th International Conference, CollaborateCom 2016, Bei**g, China, November 10–11, 2016, Proceedings
Chapter and Conference Paper
The 5th generation wireless network has become popular in recent days, the system could provide higher transmission speed, lower latency, enhanced spectrum efficiency and energy efficiency. However, the improveme...
Chapter and Conference Paper
Collaborative filtering based recommender systems are capable of generating personalized recommendations, which are tools to alleviate information overload problem. However, due to the open nature of recommend...
Chapter and Conference Paper
Design review is important in collaborative design of process plants. To satisfy the actual work demands of design review, a 3-d design review system is developed and the key technologies such as information o...
Chapter and Conference Paper
With the development of online social networks (OSNs), OSNs have become an indispensable part in people’s life. People tend to search information through OSNs rather than traditional search engines. Especially...
Chapter and Conference Paper
Alongside the enormous volume of user-generated content posted to World Wide Web, there exists a thriving demand for search personalization services, especially those utilizing collaborative tagging data. To p...
Chapter and Conference Paper
In many clustering applications, real world data are often collected from multiple sources or with features from multiple channels. Thus, multi-view clustering has attracted much attention during the past few ...
Chapter and Conference Paper
Previous work in network analysis has focused on modeling the roles of nodes in graphs. In this paper, we introduce edge role discovery and propose a framework for learning and extracting edge roles from large...
Chapter and Conference Paper
The instant communication software such as WeChat, QQ and Fetion becomes popular with the rapid development of mobile terminals and wireless personal communication technology. To refresh the online or offline ...