Data Science
5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019, Guilin, China, September 20–23, 2019, Proceedings, Part I
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73 Result(s)
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**ya Lu
Artificial Intelligence
Data Mining and Knowledge Discovery
Systems and Data Security
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Article
Open AccessLearning Weight Signed Network Embedding with Graph Neural Networks
Network embedding aims to map nodes in a network to low-dimensional vector representations. Graph neural networks (GNNs) have received much attention and have achieved state-of-the-art performance in learning ...
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Article
Open AccessAn Adaptive Elastic Multi-model Big Data Analysis and Information Extraction System
With the diverse applications to industry and domain-specific context, multi-source information extraction on semi-structured and unstructured data, as well as across data models, is becoming more common. Howe...
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Article
Open AccessDeep Multiple Auto-Encoder-Based Multi-view Clustering
Multi-view clustering (MVC), which aims to explore the underlying structure of data by leveraging heterogeneous information of different views, has brought along a growth of attention. Multi-view clustering al...
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Article
Open Access“Show Me the Crowds!” Revealing Cluster Structures Through AMTICS
OPTICS is a popular tool to analyze the clustering structure of a dataset visually. The created two-dimensional plots indicate very dense areas and cluster candidates in the data as troughs. Each horizontal sl...
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Chapter and Conference Paper
Lexical Data Augmentation for Text Classification in Deep Learning
This paper presents our work on using part-of-speech focused lexical substitution for data augmentation (PLSDA) to enhance the prediction capabilities and the performance of deep learning models. This paper expl...
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Article
Open AccessWhich Category Is Better: Benchmarking Relational and Graph Database Management Systems
Over decades, relational database management systems (RDBMSs) have been the first choice to manage data. Recently, due to the variety properties of big data, graph database management systems (GDBMSs) have eme...
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Article
Open AccessDistributed Similarity Queries in Metric Spaces
Similarity queries, including range queries and k nearest neighbor (kNN) queries, in metric spaces have applications in many areas such as multimedia retrieval, computational biology and location-based services....
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Chapter and Conference Paper
A Novel Hybrid Sequential Model for Review-Based Rating Prediction
Nowadays, the online interactions between users and items become diverse, and may include textual reviews as well as numerical ratings. Reviews often express various opinions and sentiments, which can alleviat...
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Book and Conference Proceedings
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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
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
In recent years, bike-sharing systems have been deployed in many cities, which provide an economical lifestyle. With the prevalence of bike-sharing systems, a lot of companies join the market, leading to incre...
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Chapter and Conference Paper
Destructive Method with High Quality and Speed to Counter Information Hiding
Hidden information behavior is becoming more difficult to be detected, causing illegal information spreading. To counter information hiding, more complex and high-dimensional steganalysis methods are applied, ...
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Chapter and Conference Paper
Online Data Fusion Using Incremental Tensor Learning
Despite the advances in Structural Health Monitoring (SHM) which provides actionable information on the current and future states of infrastructures, it is still challenging to fuse data properly from heteroge...
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Chapter and Conference Paper
Meteorological Sensor Data Storage Mechanism Based on TimescaleDB and Kafka
The scale of meteorological sensor data increases at TB level every week. Traditional relational database is inefficient in storing and processing such data and cannot satisfy many soft requirements. However, ...
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Chapter and Conference Paper
Survey of Methods for Time Series Symbolic Aggregate Approximation
Time series analysis is widely used in the fields of finance, medical, and climate monitoring. However, the high dimension characteristic of time series brings a lot of inconvenience to its application. In ord...
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Chapter and Conference Paper
AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images
The detection of multiple changes (i.e., different change types) in bitemporal remote sensing images is a challenging task. Numerous methods focus on detecting the changing location while the detailed “from-to...
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Chapter and Conference Paper
Dynamic Anomaly Detection Using Vector Autoregressive Model
Identifying vandal users or attackers hidden in dynamic online social network data has been shown a challenging problem. In this work, we develop a dynamic attack/anomaly detection approach using a novel combi...
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Chapter and Conference Paper
Auto-encoder Based Co-training Multi-view Representation Learning
Multi-view learning is a learning problem that utilizes the various representations of an object to mine valuable knowledge and improve the performance of learning algorithm, and one of the significant directi...
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Chapter and Conference Paper
Spatio-Temporal Event Detection from Multiple Data Sources
The proliferation of Internet-enabled smartphones has ushered in an era where events are reported on social media websites such as Twitter and Facebook. However, the short text nature of social media posts, co...
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Chapter and Conference Paper
An Improved Method and Implementation of Indoor Position Fingerprint Matching Localization Based on WLAN
The position fingerprint matching methods are analyzed, this paper improves the insufficient. In the database establishment phase, an AP selection algorithm based on stability is proposed, the Gaussian filter...
