2,762 Result(s)
within
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Ke** Zhang
Chapter
Conference Paper
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Chapter and Conference Paper
Evaluation of Deep Reinforcement Learning Based Stock Trading
Stock is one of the most important targets in investment. However, it is challenging to manually design a profitable strategy in the highly dynamic and complex stock market. Modern portfolio management usually...
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Chapter and Conference Paper
Syntax-Aware Transformer for Sentence Classification
Sentence classification is a significant task in natural language processing (NLP) and is applied in many fields. The syntactic and semantic properties of words and phrases often determine the success of sente...
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Chapter and Conference Paper
Enhance Performance of Ad-hoc Search via Prompt Learning
Recently, pre-trained language models (PTM) have achieved great success on ad hoc search. However, the performance decline in low-resource scenarios demonstrates the capability of PTM has not been inspired ful...
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Chapter and Conference Paper
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
Vocabulary mismatch is a central problem in information retrieval (IR), i.e., the relevant documents may not contain the same (symbolic) terms of the query. Recently, neural representations have shown great su...
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Chapter and Conference Paper
Contrastive Deep Knowledge Tracing
Knowledge tracing (KT) aims to predict student performance on the next question according to historical records. Recently deep learning-based models for KT task successfully modeling student responses receive ...
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Chapter and Conference Paper
Extreme Multi-label Classification with Hierarchical Multi-task for Product Attribute Identification
Identification of product attributes (product type, brand, color, gender, etc.) from a query is critically important for e-commerce search systems, especially the identification of brand intent. Recently, Name...
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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
Visual Analysis of the National Characteristics of the COVID-19 Vaccine Based on Knowledge Graph
The aim is to construct a country-dimension knowledge graph of COVID-19 vaccines from the information of COVID-19 vaccines and to analyze the leading countries of vaccine R&D by combining the advantages of eas...
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Chapter and Conference Paper
A Review of Animal Individual Recognition Based on Computer Vision
With the improvement of modernization, China’s animal husbandry and fishery enterprise has ushered in a new vogue of informationization, factorization, and precision farming, and the demand for unique identifi...
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Chapter and Conference Paper
LSN: Long-Term Spatio-Temporal Network for Video Recognition
Although recurrent neural networks (RNNs) are widely leveraged to process temporal or sequential data, they have attracted too little attention in current video action recognition applications. Therefore, this...
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Chapter and Conference Paper
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce
Product titles play an important role in E-Commerce sites. However, manually crafting product titles needs tremendous time and human effort. It is expected that product titles can be automatically generated, b...
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Chapter and Conference Paper
Managing Learners’ Memory Strength in a POMDP-Based Learning Path Recommender System
This paper views the learning path recommendation task as a sequential decision problem and considers Partially Observable Markov Decision Process (POMDP) as an adequate approach. This work proposes M-POMDP, a...
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Chapter and Conference Paper
Data Quality Identification Model for Power Big Data
Data quality identification is an important task in power big data. Abnormal data exist and hamper the effective utilization of power big data. Moreover, the lack of labeled data makes the detection of abnorma...
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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 the Design and Education of Serious Network Security Games
Through the correct teaching and game design, not only can innovation be carried out, but the highly effective network security teaching and the training solution countermeasure can also develop the student’s ...
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Chapter and Conference Paper
Investigating Student Interest and Engagement in Game-Based Learning Environments
As a cognitive and affective state, interest promotes engagement, facilitates self-regulated learning, and is positively associated with learning outcomes. Research has shown that interest interacts with prior...
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Chapter and Conference Paper
A Model Driven Approach to Transform Business Vision-Oriented Decision-Making Requirement into Solution-Oriented Optimization Model
Currently in our highly connected society, there is a strong requirement for decision-makers in organizations to coordinate and schedule their activities. Frequently, there are various uncertain factors, multi...
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Chapter and Conference Paper
ToothCR: A Two-Stage Completion and Reconstruction Approach on 3D Dental Model
Deep neural networks have made a number of achievements both in tooth segmentation and arrangement on complete 3D dental models. But few studies have used deep learning methods on the tooth completion and reco...
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Chapter and Conference Paper
SeTS \(^3\) : A Secure Trajectory Similarity Search System
To achieve the privacy protection on trajectory processing in outsourced environments, in this paper, we propose and demonstrate a Secure Trajectory Similarity Search System (SeTS
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Chapter and Conference Paper
A Generic Interpreting Method for Knowledge Tracing Models
To interpret the deep learning based knowledge tracing models (DLKT), we introduce a generic method with four-step procedure. The proposed method and procedure are generally applicable to the DLKT models with ...
