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https://doi.org/10.1145/3219819.3219867
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44503-x_11openalex-snapshot
Flexible Data Cubes for Online Aggregation
inferredcites →https://doi.org/10.1007/978-1-4615-0005-6openalex-snapshot
Handbook of Massive Data Sets
inferredcites →https://doi.org/10.1007/978-1-4615-0005-6_15openalex-snapshot
Managing and Analyzing Massive Data Sets with Data Cubes
inferredcites →https://doi.org/10.1016/s0004-3702(02)00191-1openalex-snapshot
Learning Bayesian networks from data: An information-theory based approach
inferredcites →https://doi.org/10.1108/rr-01-2018-0016openalex-snapshot
Encyclopedia of Information Science and Technology
inferredcites →https://doi.org/10.1109/icde.2014.6816674openalex-snapshot
Distributed and interactive cube exploration
inferredcites →https://doi.org/10.1109/ictai.2011.131openalex-snapshot
EProbe: An Efficient Subspace Probing Framework
inferredcites →https://doi.org/10.1109/tit.1968.1054142openalex-snapshot
Approximating discrete probability distributions with dependence trees
inferredcites →https://doi.org/10.1145/1807167.1807238openalex-snapshot
Continuous sampling for online aggregation over multiple queries
inferredcites →https://doi.org/10.1145/1989323.1989413openalex-snapshot
Graph cube
inferredcites →https://doi.org/10.1145/2465351.2465355openalex-snapshot
BlinkDB
inferredcites →https://doi.org/10.1145/253260.253291openalex-snapshot
Online aggregation
inferredcites →https://doi.org/10.1145/253262.253291openalex-snapshot
Online aggregation
inferredcites →https://doi.org/10.1145/2723372.2735381openalex-snapshot
G-OLA
inferredcites →https://doi.org/10.1145/2723372.2742797openalex-snapshot
Spark SQL
inferredcites →https://doi.org/10.1145/3035918.3035922openalex-snapshot
Extracting Top-K Insights from Multi-dimensional Data
inferredcites →https://doi.org/10.1145/3035918.3056098openalex-snapshot
Approximate Query Engines
inferredcites →https://doi.org/10.1145/3035918.3064013openalex-snapshot
Database Learning
inferredcites →https://doi.org/10.1145/375663.375664openalex-snapshot
Efficient computation of Iceberg cubes with complex measures
inferredcites →https://doi.org/10.1145/376284.375664openalex-snapshot
Efficient computation of Iceberg cubes with complex measures
inferredcites →https://doi.org/10.14778/1687627.1687641openalex-snapshot
Promotion analysis in multi-dimensional space
inferredcites →https://doi.org/10.14778/2733004.2733022openalex-snapshot
Error-bounded sampling for analytics on big sparse data
inferredcites →https://doi.org/10.14778/2733004.2733064openalex-snapshot
Combining user interaction, speculative query execution and sampling in the DICE system
inferredcites →https://doi.org/10.14778/3115404.3115418openalex-snapshot
Revisiting reuse for approximate query processing
inferredcites →https://doi.org/10.1561/1900000004openalex-snapshot
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
inferredcites →https://doi.org/10.4018/978-1-59140-553-5.ch162openalex-snapshot
Dynamic Multidimensional Data Cubes for Interactive Analysis of Massive Datasets
inferredcites →https://doi.org/10.48550/arxiv.1703.05468openalex-snapshot
Database Learning: Toward a Database that Becomes Smarter Every Time

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4100992openalex-extracted
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-5562-2_31openalex-snapshot
SmartInsight: Learning-Based Automatic Insight Discovery for Exploratory Data Analysis
inferred← citeshttps://doi.org/10.1016/j.visinf.2024.06.002openalex-snapshot
AVA: An automated and AI-driven intelligent visual analytics framework
inferred← citeshttps://doi.org/10.1080/0144929x.2019.1616223openalex-snapshot
Towards insight-driven sampling for big data visualisation
inferred← citeshttps://doi.org/10.1109/tkde.2021.3058241openalex-snapshot
Fast Error-Bounded Distance Distribution Computation
inferred← citeshttps://doi.org/10.1109/tkde.2021.3094236openalex-snapshot
ChartNavigator: An Interactive Pattern Identification and Annotation Framework for Charts
inferred← citeshttps://doi.org/10.1109/tvcg.2019.2934800openalex-snapshot
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query
inferred← citeshttps://doi.org/10.1109/tvcg.2024.3388553openalex-snapshot
CoInsight: Visual Storytelling for Hierarchical Tables With Connected Insights
inferred← citeshttps://doi.org/10.1109/tvcg.2024.3404454openalex-snapshot
InsigHTable: Insight-Driven Hierarchical Table Visualization With Reinforcement Learning
inferred← citeshttps://doi.org/10.1111/cgf.15003openalex-snapshot
Guided Exploration of Industrial Sensor Data
inferred← citeshttps://doi.org/10.1145/3334480.3383057openalex-snapshot
User-oriented Generation of Contextual Visualization Sequences
inferred← citeshttps://doi.org/10.1145/3448016.3457330openalex-snapshot
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python
inferred← citeshttps://doi.org/10.1145/3491102.3517648openalex-snapshot
VisGuide: User-Oriented Recommendations for Data Event Extraction
inferred← citeshttps://doi.org/10.48550/arxiv.1905.12164openalex-snapshot
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE
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