32 Result(s)
within
Zhigang **
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
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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...
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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
Teaching Reform and Research of Data Structure Course Based on BOPPPS Model and Rain Classroom
Data structure is the core course for computer science majors. How to improve their ‘computational thinking’ ability is crucial and challenging in this course. To optimize the teaching effect, a classroom teac...
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Chapter and Conference Paper
A Convergent Differentially Private k-Means Clustering Algorithm
Preserving differential privacy (DP) for the iterative clustering algorithms has been extensively studied in the interactive and the non-interactive settings. However, existing interactive differentially priva...
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Chapter and Conference Paper
WebEL: Improving Entity Linking with Extra Web Contexts
Entity Linking is the task of determining the identity of textual entity mentions given a predefined Knowledge Graph (KG). Plenty of existing efforts have been made on this task using either “local” informatio...
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Chapter and Conference Paper
Multiple Interaction Attention Model for Open-World Knowledge Graph Completion
Knowledge Graph Completion (KGC) aims at complementing missing relationships between entities in a Knowledge Graph (KG). While closed-world KGC approaches utilizing the knowledge within KG could only complemen...
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Chapter and Conference Paper
Unified User and Item Representation Learning for Joint Recommendation in Social Network
Friend and item recommendation in online social networks is a vital task, which benefits for both users and platform providers. However, extreme sparsity of user-user matrix and user-item matrix issue create s...
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Chapter and Conference Paper
Bootstrapped Multi-level Distant Supervision for Relation Extraction
Distant supervised relation extraction has been widely used to identify new relation facts from free text. However, relying on a single-node categorization model to identify relation facts for thousands of rel...
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Chapter and Conference Paper
Min-Forest: Fast Reachability Indexing Approach for Large-Scale Graphs on Spark Platform
Reachability query is an important graph operation in graph database which answers whether a vertex can reach another vertex through a path over the graph, and it is also fundamental to real applications invol...
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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
Classifying Non-linear Gene Expression Data Using a Novel Hybrid Rotation Forest Method
Rotation forest (RoF) is an ensemble classifier based on the combination of linear analysis theories and decision tree algorithms. In existing works, the RoF has demonstrated high classification accuracy and g...
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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
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
Boosting to Build a Large-Scale Cross-Lingual Ontology
The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream Wikipedia-based multi-lingual ontologies still face ...
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Chapter and Conference Paper
Semi-supervised Non-negative Local Coordinate Factorization
Non-negative matrix factorization (NMF) is a popular matrix decomposition technique that has attracted extensive attentions from data mining community. However, NMF suffers from the following deficiencies: (1)...
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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
Parallel Genetic Algorithm Applied to Spacecraft Reentry Trajectory
The Parallel Genetic Algorithm (PGA) is applied in this paper to solve the reentry trajectory problem of spacecraft. First, the time variable t in motion equations of spacecraft is replaced with velocity v, which...
