82 Result(s)
within
**-Lin Wang
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
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Article
EDU-Capsule: aspect-based sentiment analysis at clause level
Many studies on aspect-based sentiment analysis (ABSA) aim to directly predict aspects and polarities at sentence level. However, it is not rare that a long sentence expresses multiple aspects. In this paper, ...
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Chapter and Conference Paper
Content-Based Open Knowledge Graph Search: A Preliminary Study with OpenKG.CN
Users rely on open data portals and search engines to find open knowledge graphs (KGs). However, existing systems only provide metadata-based KG search but ignore the contents of KGs, i.e., triples. In this pa...
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Chapter and Conference Paper
A Transparently-Secure and Robust Stock Data Supply Framework for Financial-Technology Applications
Recently, program trading has become the mainstream of financial information technology. The current FinTech applications mainly encounter three technical issues, including scalability, long-time retrieval, an...
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Chapter and Conference Paper
DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network
Machine learning methods face two main challenges in denoising tasks. One is the lack of supervised training data, and the other is the limited knowledge of complex unknown noise. In this paper, for seismic de...
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Chapter and Conference Paper
Double LSTM Structure for Network Traffic Flow Prediction
The network traffic prediction is important for service quality control in computer network. The performance of the traditional prediction method significantly degrades for the burst short-term flow. In view o...
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Chapter and Conference Paper
An Empirical Study on Recent Graph Database Systems
Graphs are widely used to model the intricate relationships among objects in a wide range of applications. The advance in graph data has brought significant value to artificial intelligence technologies. Recen...
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Chapter and Conference Paper
Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answering
With the rapid development of the Internet, community question answering (CQA) platforms have attracted increasing attention over recent years, particularly in the biomedical field. On biomedical CQA platform...
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Chapter and Conference Paper
A Novel Big Data Platform for City Power Grid Status Estimation
This paper proposed a Big Data platform solution for city power grid status estimation, with an in-memory distributed computing frame for power grid heterogeneous data analysis. A big data management system is...
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Chapter and Conference Paper
GparMiner: A System to Mine Graph Pattern Association Rules
With the rapid development, social network analysis has been receiving significant attention. One popular direction in the filed is to mine graph-pattern association rules (
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Chapter and Conference Paper
Keyword-Driven Depressive Tendency Model for Social Media Posts
People are increasingly sharing posts on social media (e.g., Facebook, Twitter, Instagram) that include references to their moods/feelings pertaining to their daily lives. In this study, we used sentiment ana...
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Chapter and Conference Paper
RNE: A Scalable Network Embedding for Billion-Scale Recommendation
Nowadays designing a real recommendation system has been a critical problem for both academic and industry. However, due to the huge number of users and items, the diversity and dynamic property of the user in...
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Chapter and Conference Paper
Accurate Identification of Electrical Equipment from Power Load Profiles
It is essential for the power industries to identify the running electrical equipment automatically. For power monitoring, the load profile data vary with the equipment’s types. Proceeding from the fundamental...
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Chapter and Conference Paper
Keyword Extraction with Character-Level Convolutional Neural Tensor Networks
Keyword extraction is a critical technique in natural language processing. For this essential task we present a simple yet efficient architecture involving character-level convolutional neural tensor networks....
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Chapter and Conference Paper
Beyond Word for Word: Fact Guided Training for Neural Data-to-Document Generation
Recent end-to-end encoder-decoder neural models for data-to-text generation can produce fluent and seemingly informative texts despite these models disregard the traditional content selection and surface real...
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Chapter and Conference Paper
Structure-Based Supervised Term Weighting and Regularization for Text Classification
Text documents have rich information that can be useful for different tasks. How to utilise the rich information in texts effectively and efficiently for tasks such as text classification is still an active re...
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Chapter
Drinking Gesture Recognition from Poorly Annotated Data: A Case Study
In this chapter we present a case study on drinking gesture recognition from a dataset annotated by Experience Sampling (ES). The dataset contains 8825 “sensor events” and users reported 1808 “drink events” th...
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Chapter
Benchmark Performance for the Sussex-Huawei Locomotion and Transportation Recognition Challenge 2018
The Sussex-Huawei Transportation-Locomotion (SHL) Recognition Challenge 2018 aims to recognize eight transportation activities (Still, Walk, Run, Bike, Bus, Car, Train, Subway) from the inertial and pressure s...
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Chapter and Conference Paper
An Improved PSO-Based Clustering Algorithm Inspired by Tissue-Like P System
Cluster analysis, as a part of data analysis, appear to be extremely close fields of the modern computer science. A class of distributed parallel computing models: P systems, also known as Membrane systems, ar...
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Chapter and Conference Paper
An Efficient Exact Nearest Neighbor Search by Compounded Embedding
Nearest neighbor search (NNS) in high dimensional space is a fundamental and essential operation in applications from many domains, such as machine learning, databases, multimedia and computer vision. In this ...
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Chapter and Conference Paper
An Algorithm for Describing the Convex and Concave Shape of Protein Surface
Protein surface plays a key role in many biological processes. Most proteins participate in the life activities of cells via binding to other proteins or ligand molecules. It is an important work to study prot...
