Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III

Häftad, Engelska, 2017

Av Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, Sašo Džeroski, Taneli Mielikainen, Marinka Zitnik, Saso Dzeroski, Marinka ¿Itnik, Sa¿o D¿eroski

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The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017.

Produktinformation

Utgivningsdatum2017-12-30
Mått155 x 235 x 27 mm
Vikt727 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor448
FörlagSpringer International Publishing AG
ISBN9783319712727

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Databaser inom Data och it
Informationsteknik: allmänt inom Data och it
IT-säkerhet inom Data och it
Nätverk och kommunikation inom Data och it
Tillämpad datateknik inom Data och it

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.