Skip to search
Skip to main content
Catalog
Help
Feedback
Your Account
Library Account
Bookmarks
(
0
)
Search History
Search in
Keyword
Title (keyword)
Author (keyword)
Subject (keyword)
Title starts with
Subject (browse)
Author (browse)
Author (sorted by title)
Call number (browse)
search for
Search
Advanced Search
Bookmarks
(
0
)
Princeton University Library Catalog
Start over
Cite
Send
to
SMS
Email
EndNote
RefWorks
RIS
Printer
Bookmark
Advances in databases and information systems : 26th European conference, ADBIS 2022, Turin, Italy, September 5-8, 2022, proceedings / Silvia Chiusano, Tania Cerquitelli, Robert Wrembel (editors).
Format
Book
Language
English
Published/Created
Cham, Switzerland : Springer, [2022]
©2022
Description
1 online resource (419 pages)
Availability
Available Online
Springer Nature - Springer Lecture Notes in Computer Science eBooks
Springer Nature - Springer Computer Science eBooks 2022 English International
Details
Subject(s)
Database management
—
Congresses
[Browse]
Information technology
—
Congresses
[Browse]
Editor
Chiusano, Silvia
[Browse]
Cerquitelli, Tania
[Browse]
Wrembel, Robert
[Browse]
Series
Lecture notes in computer science ; Volume 13389.
[More in this series]
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on print version record.
Contents
Intro
Preface
Organization
Abstracts of the Keynote Talks
Toward AI-Powered Data-Driven Education
Insider Stories: Analyzing Stress, Depression, and Staff Welfare at Major US Companies from Online Reviews
Tensor Query Processing: Neural Network to speed up Databases and Classical ML!
Understanding and Rewiring Cities and Societies: A Computational Social Science Perspective
Contents
Keynote Talk and Tutorials
Understanding and Rewiring Cities
1 Introduction
2 Neighborhoods' Characteristics and Urban Vitality
3 How Safety Perception Influences Vitality
4 The Interplay of Neighborhoods' Socio-Economic Conditions, Urban Environment, People Behaviors, and Crime
5 The Impact of COVID-19 Pandemic on Human Behavior
6 Looking Ahead
References
AI Approaches in Processing and Using Data in Personalized Medicine
2 Different Sources of Patients' Medical Big Data - Collection and Processing
3 Emergent Artificial Intelligence Approaches for Supporting Quality Medical Decisions
4 Medical Decision Support Systems
4.1 Smart Ambient Intelligent Living Environments
4.2 Intelligent System for Supporting Cancer Patients
5 Conclusion
Explainable, Interpretable, Trustworthy, Responsible, Ethical, Fair, Verifiable AI... What's Next?
2 Explainability
3 Interpretability
4 The Problem of Bias
5 Fairness
6 Verification
7 Accountability
8 Conclusions
OLAP and NoSQL: Happily Ever After
1 Introduction and Motivation
2 Schema-on-Read Approaches
2.1 Graph OLAP
2.2 Approximate OLAP
3 Schema-on-Write Approaches
3.1 Mono-Model Approaches
3.2 Multi-model Approaches
4 Conclusion
What's New in Temporal Databases?
2 Query Processing of Primitive Operators.
2.1 Temporal Selection
2.2 Temporal Joins
3 New Directions in Models and Semantics
4 Systems
5 Conclusion and Future Directions
Graph Processing
An Algebra for Path Manipulation in Graph Databases
2 Related Work
3 Data Model
4 Path Algebra
4.1 Operations over Paths
4.2 Operations over Sets of Paths
4.3 Examples of Queries
5 Properties
6 Use Cases
6.1 Transportation
6.2 Proteins
7 Discussion
7.1 Labels and Repeated Results
7.2 Notions of Compatibility
7.3 Paths Queries Across Multiple Graphs
Road Network Graph Representation for Traffic Analysis and Routing
3 Road Network Graph Modelling
3.1 Primal Graph
3.2 Dual Graph
4 Generation of Traffic Data
5 Traffic Data Integration
6 Routing
6.1 Managing Road Closures
7 Road Network Analysis
8 Conclusion
Parallel Discovery of Top-k Weighted Motifs in Large Graphs
2 Related Research
3 Background
4 The Proposed Approach
4.1 Correctness
4.2 Extension to 4-Cliques
5 Performance Evaluation
6 Conclusions
A Data Quality Framework for Graph-Based Virtual Data Integration Systems
3 Preliminaries
3.1 Running Example
3.2 Formal Background
4 Managing Data Quality in Virtual Data Integration
4.1 DC Generation and Graph-Based Representation
4.2 Global DC Management
5 Global Query Rewriting with Global DCs
5.1 Query with DCs
6 Validation
7 Conclusions and Future Work
Time Series and Data Streams
Generating Comparative Explanations of Financial Time Series
2 Literature Review
3 Data Overview
4 Financial Data Summarizer
5 Experiments
5.1 Intrinsic Evaluation.
5.2 Extrinsic Summary Validation
6 Conclusions and Future Works
Summarizing Edge-Device Data via Core Items
3.1 Apache Storm
3.2 Stream Summarization
4 Algorithms for Core Item Sets Computation
4.1 SoftSieving
5 Experimental Evaluation
6 Conclusion
Parallel Techniques for Variable Size Segmentation of Time Series Datasets
2 Problem Definition and Background
2.1 SAX Representation
2.2 Similarity Queries
2.3 Problem Statement
3 Adaptive SAX Based on the Representation's Sum of Squared Errors (ASAX_SSE)
3.1 Sum of Squared Errors (SSE)
3.2 SSE of PAA Representation Considering One Segment (LSSE)
3.3 SSE of PAA Representation Considering All Segments (GSSE)
3.4 Variable-Size Segmentation Based on SSE Measurement
3.5 Lower Bounding of the Similarity Measure
4 Parallel Versions of ASAX_SSE
4.1 Parallelization on Data
4.2 Parallelization on Segments
5.1 Setup
5.2 Precision of k-Nearest Neighbor Search
5.3 Scalability
6 Related Work
7 Conclusion
On Line Analytical Processing
ORTree: Tuning Diversified Similarity Queries by Means of Data Partitioning
2 Background
2.1 Range-Tree
2.2 MAM - Omni-Technique
2.3 The Diversity Problem
2.4 Diversity Algorithms
2.5 Candidate Selection
3 Methodology
4 Experiments
4.1 Index Creation Time
4.2 Quality Experiments
4.3 Number of Elements Retrieved
4.4 Query Time Evaluation
5 Conclusions and Future Work
A Knowledge-Based Approach to Support Analytic Query Answering in Semantic Data Lakes*-12pt
2 Case Study: Azure COVID-19 Data Lake
3 Semantic Data Lake: Data Model
3.1 Metadata Layer
3.2 Knowledge Layer.
4 Integration and Mapping Discovery
5 Query Answering
6 Evaluation
Insight-Based Vocalization of OLAP Sessions
3 Overview
4 Formal Background
5 The Vocalization Process
5.1 Insight Generation
5.2 Insight Selection
5.3 Vocalization
6 A Closer Look at the VOOL Modules
7 Evaluation and Conclusion
Advanced Querying
Querying Temporal Anomalies in Healthcare Information Systems and Beyond
3 Temporal Anomalies
3.1 Preliminaries
3.2 Definition of Temporal Anomalies
3.3 Anomaly Labelling and Retrieval
4 SQL Implementations
4.1 Unfold/Fold
4.2 Unfold/Fold Join Filtered
4.3 Window Function
5.1 Setup and Dataset
5.2 Results
6 Conclusion and Future Work
Soft Spatial Querying on JSON Data Sets
2.1 Brief Introduction to Fuzzy Sets
2.2 Related Work
2.3 The J-CO Framework
3 Case Study and J-CO-QL+ Script
3.1 Case Study
3.2 Definition of Fuzzy Concepts
3.3 Processing a GeoJSON Document
3.4 Soft Spatial Querying
4 Conclusions
Maximum Range-Sum for Dynamically Occurring Objects with Decaying Weights
2 Preliminaries
3 Approximate Solution to DDW-MaxRS
3.1 Properties of the Approximate Solution
3.2 Memory-Efficient Approximate Solution
4 Generalization
5 Experimental Study
Performance
Storage Management with Multi-Version Partitioned BTrees
2 Architecture of Multi-Version Partitioned BTrees
3 Cached Partition: Stop Re-writing Valid Data
4 Garbage Collection and Space Reclamation
6 Conclusion.
Generalization Aware Compression of Molecular Trajectories
Analysing Workload Trends for Boosting Triple Stores Performance
2 Background and Related Work
2.1 RDF Graph and Queries Processing
2.2 Indexing and Cache
2.3 Replication
2.4 Workload Adaption
2.5 Heat Query
3 Heat Item Gets Colder
3.1 Smoothing Methods
3.2 Exponential Smoothing
3.3 Holt-Winters' Additive Method
4 Experimental Evaluation
4.1 Exponential Smoothing
4.2 Hot Data Parts
4.3 Seasonality Factors and Capacity
5 Conclusion and Future Work
Machine Learning
Comparison of Models Built Using AutoML and Data Fusion
3 Problem Statement
4 Proposed Approach
4.1 Datasets Description
4.2 Data Fusion Process
4.3 Experimental Design
4.4 Performance Evaluation
Dimensional Data KNN-Based Imputation
3 DW Dimension
4 Distance Between Dimension Instances
4.1 Attribute Distance
4.2 Hierarchy Level Instance Distance
4.3 Hierarchy Instance Distance
4.4 Dimension Instance Weight
5 H-OLAPKNN Imputation
5.1 H-OLAPKNN Overview
5.2 Imputation for Parameters by OLAPKNN
6 Experimental Assessment
6.1 Technical Environment and Datasets
6.2 Experimental Methodology
6.3 Results and Analysis
7 Conclusion and Future Work
Feature Ranking from Random Forest Through Complex Network's Centrality Measures*2mm
2.1 Feature Selection and Ranking
2.2 Random Forests
2.3 Complex Networks
3 From Trees in a Random Forest to a Complex Network
4 Experimental Setup.
5 Results and Discussion.
Show 241 more Contents items
ISBN
3-031-15740-0
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
Read more...
Other views
Staff view
Ask a Question
Suggest a Correction
Report Harmful Language
Supplementary Information