Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Altun, Yasemin. (Editor), Das, Kamalika. (Editor), Mielikäinen, Taneli. (Editor), Malerba, Donato. (Editor), Stefanowski, Jerzy. (Editor), Read, Jesse. (Editor), Žitnik, Marinka. (Editor), Ceci, Michelangelo. (Editor), Džeroski, Sašo. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Lecture Notes in Artificial Intelligence ; 10536
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-71273-4
Table of Contents:
  • Applied Data Science track
  • A Novel Framework for Online Sales Burst Prediction
  • Analyzing Granger causality in climate data with time series classification methods
  • Automatic Detection and Recognition of Individuals in Patterned Species
  • Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting
  • CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining
  • DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters
  • Disjoint-Support Factors and Seasonality Estimation in E-Commerce
  • Event Detection and Summarization using Phrase Networks: PhraseNet
  • Generalising Random Forest Parameter Optimisation to Include Stability and Cost
  • Have It Both Ways - from A/B Testing to A&B Testing with Exceptional Model Mining
  • Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays
  • Modeling the Temporal Nature of Human Behavior for Demographics Prediction
  • MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
  • Optimal client recommendation for market makers in illiquid financial products
  • Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center
  • Probabilistic Inference of Twitter Users' Age based on What They Follow
  • Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects
  • RSSI Based Supervised Learning for Uncooperative Direction-Finding
  • Sequential Keystroke Behavioral Biometrics for User Identification via Multi-view Deep Learning
  • Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks
  • SINAS: Suspect Investigation Using Offenders' Activity Space
  • Stance Classification of Tweets using Skip Char NGrams
  • Structural Semantic Models for Automatic Analysis of Urban Areas
  • Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test
  • Unsupervised signature extraction from forensic logs
  • Urban Water Flow and Water Level Prediction based on Deep Learning
  • Using Machine Learning for Labour Market Intelligence
  • Nectar track
  • Activity-Driven Influence Maximization in Social Networks
  • An AI Planning System for Data Cleaning
  • Comparing hypotheses on sequential behavior: A Bayesian approach and its applications
  • Data-driven Approaches for Smart Parking
  • Image representation, annotation and retrieval with predictive clustering trees
  • Music Generation Using Bayesian Networks
  • Phenotype Inference from Text and Genomic Data
  • Process-based Modeling and Design of Dynamical Systems
  • QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees
  • Recent Advances in Kernel-Based Graph Classification
  • Demo track
  • ASK-the-Expert: Active learning based knowledge discovery using the expert
  • Delve: A Data set Retrieval and Document Analysis System
  • Framework for Exploring and Understanding Multivariate Correlations
  • Lit@EVE: Explainable Recommendation based on Wikipedia Concept Vectors
  • Monitoring Physical Activity and Mental Stress using Wrist-worn Device and a Smartphone
  • Tetrahedron: Barycentric Measure Visualizer
  • TF Boosted Trees: A scalable TensorFlow based framework for gradient boosting
  • TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory
  • TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks
  • WHODID: Web-based interface for Human-assisted factory Operations in fault Detection, Identification and Diagnosis.