Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:DS (24. : 2021 : Online) Discovery Science
1. Verfasser: Verhelst, Theo (VerfasserIn)
Weitere Verfasser: Shrestha, Jeevan (VerfasserIn), Mercier, Denis (VerfasserIn), Dewitte, Jean-Christophe (VerfasserIn), Bontempi, Gianluca (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Ranking Structured Objects with Graph Neural Networks 2021 Damke, Clemens
Sentiment Nowcasting During the COVID-19 Pandemic 2021 Miliou, Ioanna
An Ensemble Hypergraph Learning Framework for Recommendation 2021 Gharahighehi, Alireza
GANS for Tabular Healthcare Data Generation: A Review on Utility and Privacy 2021 Coutinho-Almeida, Joäo
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems 2021 Caforio, Francesco Paolo
Local Interpretable Classifier Explanations with Self-generated Semantic Features 2021 Angiulli, Fabrizio
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data 2021 Corizzo, Roberto
Automated Grading of Exam Responses: An Extensive Classification Benchmark 2021 Ljungman, Jimmy
Combining Predictions Under Uncertainty: The Case of Random Decision Trees 2021 Busch, Florian
FHA: Fast Heuristic Attack Against Graph Convolutional Networks 2021 Zhan, Haoxi
Consensus Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing 2021 Dutta, Haimonti
KATRec: Knowledge Aware aTtentive Sequential Recommendations 2021 Amjadi, Mehrnaz
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers 2021 Bonsignori, Valerio
Elliptical Ordinal Embedding 2021 Diallo, Aissatou
Learning Time Series Counterfactuals via Latent Space Representations 2021 Mochaourab,, Zhendong Wang, Isak Samsten, Rami
Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention 2021 Verhelst, Theo
HTML-LSTM: Information Extraction from HTML Tables in Web Pages Using Tree-Structured LSTIM 2021 Kawamura, Kazuki
A Network Intrusion Detection System for Concept Drifting Network Traffic Data 2021 Andresini, Giuseppina
Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams 2021 Bahri, Maroua
Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models 2021 Novakovic, Aleksandar
Alle Artikel auflisten