Big Data Analytics and Knowledge Discovery 20th International Conference DaWaK 2018 Regensburg Germany September 3 6 2018 Proceedings Carlos Ordonez

Graph Analytics

Graph BI & Analytics: Current State and Future Challenges

Community Detection in Who-calls-Whom Social Networks

FedS: Towards Traversing Federated RDF Graphs

Case Studies

Adversarial Spiral Learning Approach to Strain Analysis for Bridge Damage Detection

CoRe: Generating a Computationally Representative Road Skeleton – Integrating AADT with Road Structure

E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data

Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities

Location Prediction Using Sentiments of Twitter Users

Classification and Clustering

A Clustering Model for Uncertain Preferences Based on Belief Functions

A Novel Committee–Based Clustering Method

KMN – Removing Noise from K-Means Clustering Results

Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification

Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix

Pre-proccesing

An Efficient Prototype Selection Algorithm Based on Spatial Abstraction

Web Usage Data Cleaning

Anonymization of Multiple and Personalized Sensitive Attributes

TRANS-AM: Discovery Method of Optimal Input Vectors Corresponding to Objective Variables

Sequences

Discovering Periodic Patterns Common to Multiple Sequences

Discovering Tight Space-Time Sequences

Cloud and Database Systems

CloudDBGuard: Enabling Sorting and Searching on Encrypted Data in NoSQL Cloud Databases

Query Processing on Large Graphs: Scalability Through Partitioning

Querying Heterogeneous Data in Graph-Oriented NoSQL Systems

Selection of Bitmap Join Index: Approach Based on Minimal Transversals

Scalable Random Sampling K-Prototypes Using Spark

Data Mining

ERAPN, an Algorithm for Extraction Positive and Negative Association Rules in Big Data

Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches

Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms

Time Series Distance Density Cluster with Statistical Preprocessing

Debate Stance Classification Using Word Embeddings