26 Result(s)
within
English
Computer Science
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Zhigang **
-
Chapter and Conference Paper
Combining Multiple Sources of Evidence in XML Multimedia Documents: An Inference Network Incorporating Element Language Models
This work makes use of the semantic structure and logical structure in XML documents, and their combination to represent and retrieve XML multimedia content. We develop a Bayesian network incorporating element...
-
Chapter and Conference Paper
Enhancing Relevance Models with Adaptive Passage Retrieval
Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while improving retrieval in most cas...
-
Chapter and Conference Paper
Retracted: Quantum Quasi-Cyclic Low-Density Parity-Check Codes
In this paper, how to construct quantum quasi-cyclic (QC) low-density parity-check (LDPC) codes is proposed. Using the proposed approach, some new quantum codes with various lengths and rates of no cycles-leng...
-
Chapter and Conference Paper
Erratum to: Quantum Quasi-Cyclic Low-Density Parity-Check Codes
The paper entitled ”Quantum Quasi-Cyclic Low-Density Parity-Check Codes”, on pages 18-27 of this volume, has been retracted, because a large portion of the contents had been taken from the paper “Quantum Quasi...
-
Chapter and Conference Paper
An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns
Negative sequential pattern mining has attracted increasing concerns in recent data mining research because it considers negative relationships between itemsets, which are ignored by positive sequential patter...
-
Chapter and Conference Paper
An Improved UCONA-Based Authorization Policy Specification for Ubiquitous Systems
Anywhere and anytime access to information within computing infrastructures is a purpose of ubiquitous computing. The new security challenges are posed while the information can be accessed at anywhere and any...
-
Chapter and Conference Paper
R&D on Oil Spill Emergency Decision Support System
A system is described for the prediction of oil spills movement and the suggestion on response operations. It can provide the movement and fate of oil spills, optimized recommendations of arrangement and deliv...
-
Chapter and Conference Paper
Classifying Stem Cell Differentiation Images by Information Distance
The ability of stem cells holds great potential for drug discovery and cell replacement therapy. To realize this potential, effective high content screening for drug candidates is required. Analysis of images ...
-
Chapter and Conference Paper
BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture
Many applications in real life can produce and collect large amount of data and many of them can be modeled by Graph. The number of vertexes of a graph could be several hundreds of millions to billions and the...
-
Chapter and Conference Paper
Pricing in Social Networks with Negative Externalities
We study the problems of pricing an indivisible product to consumers who are embedded in a given social network. The goal is to maximize the revenue of the seller. We assume impatient consumers who buy the pro...
-
Chapter and Conference Paper
Event Detection with Convolutional Neural Networks for Forensic Investigation
Traditional approaches rely on domain expertise to acquire complicated features. Meanwhile, existing Natural Language Processing (NLP) tools and techniques are not competent to extract information from digital...
-
Chapter and Conference Paper
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding
The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream multi-lingual ontologies based on online wikis still...
-
Chapter and Conference Paper
Classifying Non-linear Gene Expression Data Using a Novel Hybrid Rotation Forest Method
Rotation forest (RoF) is an ensemble classifier based on the combination of linear analysis theories and decision tree algorithms. In existing works, the RoF has demonstrated high classification accuracy and g...
-
Chapter and Conference Paper
A New Cuckoo Search
In this paper, we intend to formulate a new Cuckoo Search (NCS) for solving optimization problems. This algorithm is based on the obligate brood parasitic behavior of some cuckoo species in combination with th...
-
Chapter and Conference Paper
Secured Privacy Preserving Data Aggregation with Semi-honest Servers
With the large deployment of smart devices, the collections and analysis of user data significantly benefit both industry and people’s daily life. However, it has showed a serious risk to people’s privacy in t...
-
Chapter and Conference Paper
TrajSpark: A Scalable and Efficient In-Memory Management System for Big Trajectory Data
The widespread application of mobile positioning devices has generated big trajectory data. Existing disk-based trajectory management systems cannot provide scalable and low latency query services any more. In...
-
Chapter and Conference Paper
Unified User and Item Representation Learning for Joint Recommendation in Social Network
Friend and item recommendation in online social networks is a vital task, which benefits for both users and platform providers. However, extreme sparsity of user-user matrix and user-item matrix issue create s...
-
Chapter and Conference Paper
Distant Supervision for Relation Extraction with Neural Instance Selector
Distant supervised relation extraction is an efficient method to find novel relational facts from very large corpora without expensive manual annotation. However, distant supervision will inevitably lead to wr...
-
Chapter and Conference Paper
Min-Forest: Fast Reachability Indexing Approach for Large-Scale Graphs on Spark Platform
Reachability query is an important graph operation in graph database which answers whether a vertex can reach another vertex through a path over the graph, and it is also fundamental to real applications invol...
-
Chapter and Conference Paper
WebEL: Improving Entity Linking with Extra Web Contexts
Entity Linking is the task of determining the identity of textual entity mentions given a predefined Knowledge Graph (KG). Plenty of existing efforts have been made on this task using either “local” informatio...
