114 Result(s)
within
Chapter
Yao **xi
Data Mining and Knowledge Discovery
Database Management
Information Systems Applications (incl. Internet)
-
Chapter and Conference Paper
Bi-granularity Adversarial Training for Non-factoid Answer Retrieval
Answer Retrieval is a task of automatically retrieving relevant answers towards a specific question. The recent studies, in this field, have witnessed the vast success of non-factoid QA methods which leverage ...
-
Chapter and Conference Paper
NCRedis: An NVM-Optimized Redis with Memory Caching
Non-volatile memory (NVM) has byte-addressability and data-durability. Redis, a popular in-memory kv-store system, can persist data when replacing DRAM with NVM. However, to implement NVM Redis, we need to use...
-
Chapter and Conference Paper
NV-QALSH: An NVM-Optimized Implementation of Query-Aware Locality-Sensitive Hashing
Locality-Sensitive Hashing (LSH) is a popular method for answering c-approximate nearest neighbor queries in high-dimensional spaces. Existing LSH methods are either DRAM-based ones which consume a vast amount...
-
Chapter and Conference Paper
Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic
“Tree hole” refers to a social media formed after the death of a social media user, in which other users continue to leave messages due to emotional resonance. This paper focuses on exploring the fluctuation o...
-
Chapter and Conference Paper
Learning Dynamic Pricing Rules for Flight Tickets
It is possible and necessary to adjust the flight ticket prices for each airlines dynamically in order to increase online travel agencies’ revenues. Unfortunately, the demands and the availability of flight ti...
-
Chapter and Conference Paper
Information Diffusion Prediction with Personalized Graph Neural Networks
Online social networks are crowded with massive information, which is more likely to spread rapidly on a large scale. Therefore, understanding and predicting information diffusion on social networks will be mu...
-
Chapter and Conference Paper
BigARM: A Big-Data-Driven Airport Resource Management Engine and Application Tools
Resource management becomes a critical issue in airport operation since passenger throughput grows rapidly but the fixed resources such as baggage carousels hardly increase. We propose a Big-data-driven Airpor...
-
Chapter and Conference Paper
A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction
Distantly supervised relation extraction is an efficient method to extract novel relational facts from unstructed text. Most previous neural methods adopt Convolutional Neural Network (CNN) or Recurrent Neural...
-
Chapter and Conference Paper
Spatiotemporal-Aware Region Recommendation with Deep Metric Learning
Personalized points of interests (POI) recommendation is an important basis for location-based services. A typical application scenario is to recommend a region with reliable POIs to a user when he/she travels...
-
Chapter and Conference Paper
Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder
In the theory of art, composition is based on the placement or arrangement of visual elements or ingredients in a painting to express the thoughts of the artist. Inspired by that, we propose a novel approach c...
-
Chapter
A Data Services Composition Approach for Continuous Query on Social Media Streams
We witness a rapid increase in the number of social media streams due to development of Web2.0, IoT and Cloud Computing technology. These sources include both traditional relational databases and streaming dat...
-
Chapter and Conference Paper
Qualitative Instead of Quantitative: Towards Practical Data Analysis Under Differential Privacy
Differential privacy (DP) has become the de facto standard in the academic and industrial communities. Although DP can provide strong privacy guarantee, it also brings a major of performance loss for data mini...
-
Chapter and Conference Paper
Parallelizing String Similarity Join Algorithms
A key operation in data cleaning and integration is the use of string similarity join (SSJ) algorithms to identify and remove duplicates or similar records within data sets. With the advent of big data, a natu...
-
Chapter and Conference Paper
\(R^2\) -Tree: An Efficient Indexing Scheme for Server-Centric Data Center Networks
Index plays a very important role in cloud storage systems, which can support efficient querying tasks for data-intensive applications. However, most of existing indexing schemes for data centers focus on one ...
-
Chapter and Conference Paper
Community Structure Based Shortest Path Finding for Social Networks
With the rapid expansion of communication data, research about analyzing social networks has become a hotspot. Finding the shortest path (SP) in social networks can help us to investigate the potential social ...
-
Chapter and Conference Paper
TRQED: Secure and Fast Tree-Based Private Range Queries over Encrypted Cloud
With the prevalence of cloud computing, data owners are motivated to outsource their databases to the cloud. However, sensitive information has to be encrypted to preserve the privacy, which inevitably makes e...
-
Chapter and Conference Paper
Geographical Relevance Model for Long Tail Point-of-Interest Recommendation
Point-of-Interest (POI) recommendation plays a key role in people’s daily life, and has been widely studied in recent years, due to its increasingly applications (e.g., recommending new restaurants for users)....
-
Chapter and Conference Paper
QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query
With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries become increasingly complex.It is co...
-
Chapter and Conference Paper
Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification
In many real applications, it is often encountered that the models trained on source domain cannot fit the related target images very well, due to the variants and changes of the imaging background, lighting o...
-
Chapter and Conference Paper
Distributed In-Memory Analytics for Big Temporal Data
The temporal data is ubiquitous, and massive amount of temporal data is generated nowadays. Management of big temporal data is important yet challenging. Processing big temporal data using a distributed system...
