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Personal Insights for Altering Decisions of Tree-based Ensembles over Time

Summary: Novel framework for planning actions under evolving tree ensembles, merging interpretability, future-model adaptation, and constraint databases. Efficient algorithms compute steps to alter outcomes as models and user attributes drift, with ensemble results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12275
Venue
VLDB
Year
2020
Pagerank
4.1945683e-05
Overall Rank
11,634 | 19.07%
DOI
10.14778/3380750.3380752

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,346 CFDB: Machine Learning Model Analysis via Databases of CounterFactuals 2022 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,415 Towards a Theory of Spatial Database Queries (Extended Abstract) 1994 PODS 0.0001211468
1,741 Relational Expressive Power of Constraint Query Languages 1996 PODS 0.00010714223
4,123 On the Representation of Infinite Temporal Data and Queries (Extended Abstract) 1991 PODS 6.4343963e-05
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