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Data Science & Analytics

4,466 papers (1 classified directly here)

Subtopics

Applications (2,978) Methods (1,725)

Papers per year

2
45
67
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Papers (including subtopics)

Learning Hawkes Processes from Short Doubly-Censored Event Sequences ICML 2017
Leveraging Node Attributes for Incomplete Relational Data ICML 2017
Proportional Rankings IJCAI 2017
Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation IJCAI 2017
A Model for Accountable Ordinal Sorting IJCAI 2017
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017
RHash: Robust Hashing via L_infinity-norm Distortion IJCAI 2017
Mining Convex Polygon Patterns with Formal Concept Analysis IJCAI 2017
Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation IJCAI 2017
Scalable Normalized Cut with Improved Spectral Rotation IJCAI 2017
Privileged Matrix Factorization for Collaborative Filtering IJCAI 2017
Collaborative Rating Allocation IJCAI 2017
Improved Bounded Matrix Completion for Large-Scale Recommender Systems IJCAI 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction IJCAI 2017
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization IJCAI 2017
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering IJCAI 2017
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017
Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017
A Functional Dynamic Boltzmann Machine IJCAI 2017
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017
Basket-Sensitive Personalized Item Recommendation IJCAI 2017
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017
Large-scale Subspace Clustering by Fast Regression Coding IJCAI 2017
Projective Low-rank Subspace Clustering via Learning Deep Encoder IJCAI 2017