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A. Shanghooshabad

4 papers hereh-index 492 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DB3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedWeighted Random Sampling over Joins

3 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

FAOPs: Normal Forms and an Algebra for AI Agent Workflows

Ali Mohammadi Shanghooshabad

Organizations increasingly encode operational procedures as multi-step agent skills, here called Agent Operating Procedures (AOPs), that must be traceable, auditable, reproducible,…

cs.DB2022

Graphical Join: A New Physical Join Algorithm for RDBMSs

Ali Mohammadi Shanghooshabad, Peter Triantafillou

Join operations (especially n-way, many-to-many joins) are known to be time- and resource-consuming. At large scales, with respect to table and join-result sizes, current state of…

cs.DB2022

Model Joins: Enabling Analytics Over Joins of Absent Big Tables

Ali Mohammadi Shanghooshabad, Peter Triantafillou

This work is motivated by two key facts. First, it is highly desirable to be able to learn and perform knowledge discovery and analytics (LKD) tasks without the need to access raw-…

cs.DB2022★ 3 cited

Weighted Random Sampling over Joins

Michael Shekelyan, Graham Cormode, Peter Triantafillou +2

Joining records with all other records that meet a linkage condition can result in an astronomically large number of combinations due to many-to-many relationships. For such challe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.