61 Result(s)
within
Computer Science
Computer Communication Networks
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
**u Tao
Chapter
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Chapter and Conference Paper
Boost Clickbait Detection Based on User Behavior Analysis
Article in the web is usually titled with a misleading title to attract the users click for gaining click-through rate (CTR). A clickbait title may increase click-through rate, but decrease user experience. Th...
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Chapter and Conference Paper
Laser: Load-Adaptive Group Commit in Lock-Free Transaction Logging
Log manager is a key component of DBMS and is considered as the most prominent bottleneck in the modern in-memory OLTP system. In this paper, by addressing two existing performance hurdles in the current proce...
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Chapter and Conference Paper
Precise Data Access on Distributed Log-Structured Merge-Tree
Log-structured merge tree decomposes a large database into multiple parts: an in-writing part and several read-only ones. It achieves high write throughput as well as low read latency. However, read requests h...
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Chapter and Conference Paper
A Learning Approach to Hierarchical Search Result Diversification
The queries in search engine that issued by users are often ambiguous. By returning diverse ranking results we can satisfy different information needs as far as possible. Recently, a hierarchical structure are...
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Chapter and Conference Paper
Finding Optimal Team for Multi-skill Task in Spatial Crowdsourcing
These days, Online To Offline (O2O) platforms have been develo** rapidly because of the popularization of smart phones and Mobile Internet. Spatial crowdsourcing, a burgeoning area in O2O market, is gaining ...
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Chapter and Conference Paper
Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking
Predicting the fast-rising young researchers (the Academic Rising Stars) in the future provides useful guidance to the research community, e.g., offering competitive candidates to university for young faculty ...
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Chapter and Conference Paper
A Community-Aware Approach to Minimizing Dissemination in Graphs
Given a graph, can we minimize the spread of an entity (such as a meme or a virus) while maintaining the graph’s community structure (defined as groups of nodes with denser intra-connectivity than inter-connec...
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Chapter and Conference Paper
New Word Detection in Ancient Chinese Literature
Mining Ancient Chinese corpus is not as convenient as modern Chinese, because there is no complete dictionary of ancient Chinese words which leads to the bad performance of tokenizers. So finding new words in ...
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Chapter and Conference Paper
A Refined Method for Detecting Interpretable and Real-Time Bursty Topic in Microblog Stream
The real-time detection of bursty topics on microblog has acquired much research efforts in recent years, due to its wide use in a range of user-focused tasks such as information recommendation, trend analysis...
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Chapter and Conference Paper
An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networks
Nowadays, online data shows an astonishing increase and the issue of semantic indexing remains an open question. Ontologies and knowledge bases have been widely used to optimize performance. However, researche...
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Chapter and Conference Paper
IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment
The use of intelligent technologies in clinical decision making support may play a promising role in improving the quality of heart disease patients’ life and hel** to reduce cost and workload involved in th...
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Chapter and Conference Paper
Online Streaming Feature Selection Using Sampling Technique and Correlations Between Features
Feature selection is an important topic in data mining and machine learning, and has been extensively studied in many literature. In real-world applications, the dimensionality is extremely high, in millions,...
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Chapter and Conference Paper
Market-Driven Optimal Task Assignment in Spatial Crowdsouring
With the popularity of mobile devices and Online To Offline (O2O) marketing model, various spatial crowdsourcing platforms, such as Gigwalk, WeGoLook, TaskRabbit and gMission, are getting popular. An important...
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Chapter and Conference Paper
Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis
With rapid growth of social media, sentiment analysis has recently attracted growing attention in both academic and industrial fields. One of the most successful paradigms for sentiment analysis is to feed bag...
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Chapter and Conference Paper
Sentiment Analysis for Depression Detection on Social Networks
As a response to the urgent demand of methods that help detect depression at early stage, the work presented in this paper has adopted sentiment analysis techniques to analyse users’ contributions of social ne...
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Chapter and Conference Paper
A Demonstration of QA System Based on Knowledge Base
QA service is one important service for Telecommunication, while it’s very difficult because of the variety of question formations. This paper designs and implements an automatic QA system based on knowledge b...
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Chapter and Conference Paper
Learning Chinese-Japanese Bilingual Word Embedding by Using Common Characters
Bilingual word embedding, which maps word embedding of two languages into one vector space, has been widely applied in the domain of machine translation, word sense disambiguation and so on. However, no model ...
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Chapter and Conference Paper
Internet Traffic Analysis in a Large University Town: A Graphical and Clustering Approach
Campus networks consist of a rich diversity of end hosts including wired desktops, servers, and wireless BYOD devices such as laptops and smartphones, which are often compromised in insecure networks. Making s...
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Chapter and Conference Paper
A Text Retrieval System Based on Distributed Representations
Most text retrieval systems are essentially based on bag-of-words (BOW) text representations. Despite popularity of BOW, it ignores the internal semantic meanings of words since each word is treated as an atom...
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Chapter and Conference Paper
Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification
In recent years, leaf image recognition and classification has become one of the most important subjects in computer vision. Many approaches have been proposed to recognise and classify leaf images relying on ...
