1,538 Result(s)
within
English
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Jian** **
Conference Paper
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Chapter and Conference Paper
InDNI: An Infection Time Independent Method for Diffusion Network Inference
Diffusion network inference aims to reveal the message propagation process among users and has attracted many research interests due to the fundamental role it plays in some real applications, such as rumor-sp...
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Chapter and Conference Paper
Intelligent Modeling Framework for System of Systems Architecture Based on Knowledge Graph
Enterprise architecture framework such as DoDAF has become an effective method in recent years to describe a system of systems structure and guide its revolution, especially in the military field. However, the...
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Chapter and Conference Paper
Research on Construction Method of SoS Architecture Knowledge Graph
System of systems (SoS) architecture data is the foundation of SoS architecture design, modeling, and evaluation. Traditional methods of architecture data collection generally need the involvement of modelers....
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Chapter and Conference Paper
KPH: A Novel Blockchain Privacy Preserving Scheme Based on Paillier and FO Commitment
Blockchain is a shared database with excellent characteristics, such as high decentralization and traceability. However, data leakage is still a major problem for blockchain transactions. To address this issue...
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Chapter and Conference Paper
3D Visualization Supporting Situational Awareness of Model-Based System of Systems
Model-based System of Systems Engineering (MBSoSE) enables to improve the efficiency of the architecture design, and the performance analysis and modeling of highly complex system of systems (SoS). Introducing...
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Chapter and Conference Paper
CIRS: A Confidence Interval Radius Slope Method for Time Series Points Based on Unsupervised Learning
The rise of big data has brought various challenges and revolutions to many fields. Even though its development in many industries has gradually become perfect or even mature, its application and development i...
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Chapter and Conference Paper
Exploring the Asymmetric Effects of Perceived Quality on Product Evaluation: A Study of Automobile Review
Perceived quality reflects consumers’ perceptions of product attributes and then directly affects the overall evaluation. Existing research has concluded that the effect of perceived quality of attributes on o...
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Chapter and Conference Paper
Study on the Intelligent Control Model of a Greenhouse Flower Growing Environment
Intelligent control of the greenhouse planting environment plays an important role in improving planting efficiency and guaranteeing the quality of precious flowers. Among them, how to adapt the air humidity,...
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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
BugCat: A Novel Approach to Bug Number Categorization with Multi-modal Time Series Learning
It is of great importance to categorize the number of bugs over time for both software project managers and its end users. This paper proposes a novel approach called BugCat (i.e., Bug number Categorization) t...
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Chapter and Conference Paper
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks
Story ending generation is an interesting and challenging task, which aims to generate a coherent and reasonable ending given a story context. The key challenges of the task lie in how to comprehend the story ...
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Chapter and Conference Paper
Beyond QA: ‘Heuristic QA’ Strategies in JIMI
JD Instant Messaging intelligence (JIMI) is an intelligent service robot designed for creating an innovative online shop** experience in E-commerce. We will introduce a framework that combines the ‘intellige...
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Chapter and Conference Paper
Are Graph Neural Network Explainers Robust to Graph Noises?
With the rapid deployment of graph neural networks (GNNs) based techniques in a wide range of applications such as link prediction, community detection, and node classification, the explainability of GNNs beco...
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Chapter and Conference Paper
An Interactive Data Imputation System
In this demonstration, we propose an interactive data imputation system, called DITS, built upon ten state-of-the-art imputation algorithms and a novel variational generative adversarial imputation network. It co...
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Chapter and Conference Paper
Does a Compromise on Fairness Exist in Using AI Models?
Artificial Intelligence (AI) has been increasingly used to assist decision making in different domains. Multiple parties are usually affected by decisions in decision making, e.g. decision-maker and people aff...
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Chapter and Conference Paper
Repetitive, Oblivious, and Unlinkable SkNN Over Encrypted-and-Updated Data on Cloud
Location-Based Services (LBSs) depend on a Service Provider (SP) to store data owners’ geospatial data and to process data users’ queries. For example, a Yelp user queries the SP to retrieve the k nearest Starbuc...
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Chapter and Conference Paper
Decentralized Counterparty Matches and Automatic Settlement of Interest Rate Swap Through Blockchain’s Smart Contracts
Interest Rate Swap (IRS) is the most vivid application of the principle of comparative advantage in the financial field. The effectiveness of interest rate swap in managing interest rate risk has been widely r...
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Chapter and Conference Paper
User Incentive Based Bike-Sharing Dispatching Strategy
As a green and low-carbon transportation way, bike-sharing provides a lot of convenience in the daily traveling. However, after a period of usage, the distribution of shared bikes may not meet the traveling re...
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Chapter and Conference Paper
Effective and Lightweight Defenses Against Website Fingerprinting on Encrypted Traffic
Recently, website fingerprinting (WF) attacks that eavesdrop on the web browsing activity of users by analyzing the observed traffic can endanger the data security of users even if the users have deployed encr...
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Chapter and Conference Paper
DRIB: Interpreting DNN with Dynamic Reasoning and Information Bottleneck
The interpretability of deep neural networks has aroused widespread concern in the academic and industrial fields. This paper proposes a new method named the dynamic reasoning and information bottleneck (DRIB)...
