Advances in Knowledge Discovery and Data Mining
24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part II
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Article
Exploiting anonymous entity mentions for named entity linking
Named entity linking or named entity disambiguation is to link entity mentions to corresponding entities in a knowledge base for resolving the ambiguity of entity mentions. Recently, collective linking methods...
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Chapter
Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer
Large neural language models are achieving exceptional performance in question answering and other natural language processing tasks. However, these models can be costly to train and difficult to interpret. In...
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Chapter and Conference Paper
CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks
In the era of big data, numerous data measurements collected from all walks of life are playing important roles in various data mining applications. Not all data owners (or keepers) could develop feasible lear...
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Chapter and Conference Paper
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring
How can we detect anomalies: that is, samples that significantly differ from a given set of high-dimensional data, such as images or sensor data? This is a practical problem with numerous applications and is a...
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Chapter and Conference Paper
UniCausal: Unified Benchmark and Repository for Causal Text Mining
Current causal text mining datasets vary in objectives, data coverage, and annotation schemes. These inconsistent efforts prevent modeling capabilities and fair comparisons of model performance. Furthermore, f...
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Chapter and Conference Paper
Syntax-Informed Question Answering with Heterogeneous Graph Transformer
Large neural language models are steadily contributing state-of-the-art performance to question answering and other natural language and information processing tasks. These models are expensive to train. We p...
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Chapter and Conference Paper
Latent Relational Point Process: Network Reconstruction from Discrete Event Data
Digital interactions, such as Wi-Fi access, financial transactions, and social media activities, leave crumbs in their path. These vast quantities of fine-granularity data generated by complex real-world relat...
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Chapter
A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak Investigation
The COVID-19 pandemic has spurred the development of a large number of automated and semi-automated contact tracing frameworks. Many of these are reactive and require active client participation, such as insta...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I
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Chapter and Conference Paper
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Many real-world cyber-physical systems (CPSs) are engineered for mission-critical tasks and usually are prime targets for cyber-attacks. The rich sensor data in CPSs can be continuously monitored for intrusion...
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Article
Open AccessA machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data
The ability to sequence the transcriptomes of single cells using single-cell RNA-seq sequencing technologies presents a shift in the scientific paradigm where scientists, now, are able to concurrently investig...
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Chapter and Conference Paper
A*DAX: A Platform for Cross-Domain Data Linking, Sharing and Analytics
We introduce the A*STAR Data Analytics and Exchange Platform (“A*DAX”), which is the backbone data platform for different programs and projects under the Urban Systems Initiative launched by the Agency for Sci...
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Article
Open AccessPLW: Probabilistic Local Walks for detecting protein complexes from protein interaction networks
Many biological processes are carried out by proteins interacting with each other in the form of protein complexes. However, large-scale detection of protein complexes has remained constrained by experimental ...
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Protocol
Discovering Interacting Domains and Motifs in Protein–Protein Interactions
Many important biological processes, such as the signaling pathways, require protein–protein interactions (PPIs) that are designed for fast response to stimuli. These interactions are usually transient, easily...
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Chapter and Conference Paper
Sustainable Pseudo-random Number Generator
Barak and Halevi (BH) have proposed an efficient architecture for robust pseudorandom generators that ensure resilience in the presence of attackers with partial knowledge or partial controls of the generators...
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Chapter and Conference Paper
Ensemble Based Positive Unlabeled Learning for Time Series Classification
Many real-world applications in time series classification fall into the class of positive and unlabeled (PU) learning. Furthermore, in many of these applications, not only are the negative examples absent, th...
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Chapter and Conference Paper
ECODE: Event-Based Community Detection from Social Networks
People regularly attend various social events to interact with other community members. For example, researchers attend conferences to present their work and to network with other researchers. In this paper, w...
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Chapter and Conference Paper
Privacy beyond Single Sensitive Attribute
Publishing individual specific microdata has serious privacy implications. The k-anonymity model has been proposed to prevent identity disclosure from microdata, and the work on l-diversity and t-closeness attemp...
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Article
Open AccessIntegrating diverse biological and computational sources for reliable protein-protein interactions
Protein-protein interactions (PPIs) play important roles in various cellular processes. However, the low quality of current PPI data detected from high-throughput screening techniques has diminished the potent...
