42 Result(s)
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English
Computer Science
Artificial Intelligence
Database Management
Zhigang **
Conference Paper
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Chapter and Conference Paper
Detecting Spam Community Using Retweeting Relationships – A Study on Sina Microblog
Microblog marketing is a new trend in social media. Spammers have been increasingly targeting such platforms to disseminate spam and promoting messages. Unlike the past behaviors on traditional media, they con...
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Chapter and Conference Paper
BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture
Many applications in real life can produce and collect large amount of data and many of them can be modeled by Graph. The number of vertexes of a graph could be several hundreds of millions to billions and the...
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Chapter and Conference Paper
Pricing in Social Networks with Negative Externalities
We study the problems of pricing an indivisible product to consumers who are embedded in a given social network. The goal is to maximize the revenue of the seller. We assume impatient consumers who buy the pro...
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Chapter and Conference Paper
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding
The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream multi-lingual ontologies based on online wikis still...
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Chapter and Conference Paper
Spectrum Allocation Based on Gaussian - Cauchy Mutation Shuffled Frog Lea** Algorithm
When solving the cognitive radio spectrum allocation problems, the traditional Shuffled Frog Lea** Algorithm (SFLA) will be trapped into the local optimal solution easily and search lack of population divers...
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Chapter and Conference Paper
Secured Privacy Preserving Data Aggregation with Semi-honest Servers
With the large deployment of smart devices, the collections and analysis of user data significantly benefit both industry and people’s daily life. However, it has showed a serious risk to people’s privacy in t...
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Chapter and Conference Paper
DT-KST: Distributed Top-k Similarity Query on Big Trajectory Streams
During the past decade, with the widespread use of smartphones and other mobile devices, big trajectory data are generated and stored in a distributed way. In this work, we focus on the distributed top-k similari...
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Chapter and Conference Paper
An Adaptive Data Partitioning Scheme for Accelerating Exploratory Spark SQL Queries
For data analysis, it’s useful to explore the data set with a sequence of queries, frequently using the results from the previous queries to shape the next queries. Thus, data used in the previous queries are ...
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Chapter and Conference Paper
TrajSpark: A Scalable and Efficient In-Memory Management System for Big Trajectory Data
The widespread application of mobile positioning devices has generated big trajectory data. Existing disk-based trajectory management systems cannot provide scalable and low latency query services any more. In...
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Chapter and Conference Paper
Distant Supervision for Relation Extraction with Neural Instance Selector
Distant supervised relation extraction is an efficient method to find novel relational facts from very large corpora without expensive manual annotation. However, distant supervision will inevitably lead to wr...
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Chapter and Conference Paper
MDTK: Bandwidth-Saving Framework for Distributed Top-k Similar Trajectory Query
During the past decade, with the popularity of smartphones and other mobile devices, big trajectory data is generated and stored in a distributed way. In this work, we focus on the DTW distance based top-k query ...
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Chapter and Conference Paper
Triple-Joint Modeling for Question Generation Using Cross-Task Autoencoder
Question Generation (QG) aims to generate a question based on the context. Given the intrinsic connections between QG and QA (Question Answering), we focus on training a joint model for both QG and QA, and ta...
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Chapter and Conference Paper
Unsupervised Entity Alignment Using Attribute Triples and Relation Triples
Entity alignment aims to find entities referring to the same real-world object across different knowledge graphs (KGs). Most existing works utilize the relations between entities contained in the relation trip...
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Chapter and Conference Paper
Retweeting Prediction Using Matrix Factorization with Binomial Distribution and Contextual Information
Retweeting provides an efficient way to expand information diffusion in social networks, and many methods have been proposed to model user’s retweeting behaviors. However, most of existing works focus on devis...
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Chapter and Conference Paper
Intelligent Health Care Data Management Using Blockchain: Current Limitation and Future Research Agenda
Health care is undergoing a big data revolution, with vast amounts of information supplied from numerous sources, leading to major paradigm shifts including precision medicine and AI-driven health care among o...
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Chapter and Conference Paper
Towards Nested and Fine-Grained Open Information Extraction
Open Information Extraction is a crucial task in natural language processing with wide applications. Existing efforts only work on extracting simple flat triplets that are not minimized, which neglect triplets...
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Chapter and Conference Paper
Multimodal Named Entity Recognition with Image Attributes and Image Knowledge
Multimodal named entity extraction is an emerging task which uses both textual and visual information to detect named entities and identify their entity types. The existing efforts are often flawed in two aspe...
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Chapter and Conference Paper
Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction
Few-shot learning event extraction methods gain more and more attention due to their ability to handle new event types. Current few-shot learning studies mainly focus on English event detection, which sufferin...
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Chapter and Conference Paper
Spatial Data Publication Under Local Differential Privacy
Local differential privacy (LDP), which has been applied in Google Chrome and Apple iOS, provides strong privacy assurance to users when collecting data from users. We focus on the sensitive spatial data colle...
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Chapter and Conference Paper
Aligning Internal Regularity and External Influence of Multi-granularity for Temporal Knowledge Graph Embedding
Representation learning for the Temporal Knowledge Graphs (TKGs) is an emerging topic in the knowledge reasoning community. Existing methods consider the internal and external influence at either element level...
