Web-Age Information Management
11th International Conference, WAIM 2010, Jiuzhaigou, China, July 15-17, 2010. Proceedings
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43 Result(s)
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Chang** Tang
Information Systems Applications (incl. Internet)
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Article
Open AccessIdentification of encrypted and malicious network traffic based on one-dimensional convolutional neural network
The rapid advancement of the Internet has brought a exponential growth in network traffic. At present, devices deployed at edge nodes process huge amount of data, extract key features of network traffic and th...
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Article
Open AccessExploring the relationship between computational thinking and learning satisfaction for non-STEM college students
While various studies have focused on the significance of computational thinking (CT) for the future career paths of individuals in science, technology, engineering, and mathematics (STEM), few studies have fo...
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Article
Efficient discovery of contrast subspaces for object explanation and characterization
We tackle the novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes \(C_+\) ...
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Chapter and Conference Paper
Mining Top-k Distinguishing Sequential Patterns with Flexible Gap Constraints
Distinguishing sequential pattern (DSP) mining has been widely employed in many applications, such as building classifiers and comparing/analyzing protein families. However, in previous studies on DSP mining, ...
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Chapter and Conference Paper
Hierarchical Community Evolution Mining from Dynamic Networks
Research on community evolution contributes to understanding the nature of network evolution. Previous community evolution studies have two defects: (1) the algorithms do not have sufficient stability or canno...
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Chapter and Conference Paper
Mining Itemset-based Distinguishing Sequential Patterns with Gap Constraint
Mining contrast sequential patterns, which are sequential patterns that characterize a given sequence class and distinguish that class from another given sequence class, has a wide range of applications includ...
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Chapter and Conference Paper
Mining Frequent Closed Sequential Patterns with Non-user-defined Gap Constraints
Frequent closed sequential pattern mining plays an important role in sequence data mining and has a wide range of applications in real life, such as protein sequence analysis, financial data investigation, and...
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Chapter and Conference Paper
Efficient Mining of Density-Aware Distinguishing Sequential Patterns with Gap Constraints
Distinguishing sequential patterns are useful in characterizing a given sequence class and contrasting that class against other sequence classes. This paper introduces the density concept into distinguishing s...
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Chapter and Conference Paper
Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study
Searching similar trajectories in real time has been a challenging task in a large variety of location-aware applications. This paper addresses its two key issues, i.e. evaluating the similarity between two tr...
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Chapter and Conference Paper
Detection of High-Risk Zones and Potential Infected Neighbors from Infectious Disease Monitoring Data
Detecting the high-risk zones as well as potential infected geographical neighbor is necessary and important to reduce the loss caused by infectious disease. However, it is a challenging work, since the outbre...
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Chapter and Conference Paper
Early Prediction of Temporal Sequences Based on Information Transfer
In recent years, early prediction for ongoing sequences has been more and more valuable in a large variety of time-critical applications which demand to classify an ongoing sequence in its early stage. There a...
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Chapter and Conference Paper
Mining Good Sliding Window for Positive Pathogens Prediction in Pathogenic Spectrum Analysis
Positive pathogens prediction is the basis of pathogenic spectrum analysis, which is a meaningful work in public health. Gene Expression Programming (GEP) can develop the model without predetermined assumption...
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Chapter and Conference Paper
Efficient Subject-Oriented Evaluating and Mining Methods for Data with Schema Uncertainty
With the progressing of data collecting methods, people have already collected scales of data for various application fields such as medical science, meteorology, electronic commerce and so on. To analyze thes...
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Chapter and Conference Paper
An MDL Approach to Efficiently Discover Communities in Bipartite Network
Bipartite network is a branch of complex network. It is widely used in many applications such as social network analysis, collaborative filtering and information retrieval. Partitioning a bipartite network int...
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Chapter and Conference Paper
Hotspot District Trajectory Prediction
Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximate real world routes and alway...
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Book and Conference Proceedings
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Chapter and Conference Paper
Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP
OLAP is widely used in data analysis. The existing design models, such as star schema and snowflake schema, are not flexible when the data model is changed. For example, the task for inserting a dimension may ...
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Chapter and Conference Paper
Mining Interventions from Parallel Event Sequences
Discovering temporal patterns from sequence data has been an important task of data mining in recent years. In this paper a novel temporal pattern, Intervention, is proposed to capture the partial ordering relati...
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Chapter and Conference Paper
Intervention Events Detection and Prediction in Data Streams
Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of intervention events to analyze the trends in t...
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Chapter and Conference Paper
Core-Tag Clustering for Web 2.0 Based on Multi-similarity Measurements
Along with the development of Web2.0, folksonomy has become a hot topic related to data mining, information retrieval and social network. The tag semantic is the key for deep understanding the correlation of o...
