Machine Learning and Knowledge Discovery in Databases

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

AvYasemin Altun,Kamalika Das

Häftad, Engelska, 2017

Del 10536 i serien Lecture Notes in Computer Science

551 kr

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Beskrivning

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

Utgivningsdatum:2017-12-30
Mått:155 x 235 x 27 mm
Vikt:727 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:448
Förlag:Springer International Publishing AG
ISBN:9783319712727

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

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.

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