Paper Citation Record · LEDGER

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.11780.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.11780 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:52:18.305437Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy25
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eef55aef-0ae2-4fc5-9268-ef7ae2be5967 · outbound

This paper cites Big data: A review.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Big data: A review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.692084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3b2dbf4-d87c-4c17-8eca-78ee85588ba7 · outbound

This paper cites Challenges of big dat a analysis.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Challenges of big dat a analysis

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.679409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27169f07-5edf-432f-b11b-809c4aef7099 · outbound

This paper cites Big data analytics: a survey.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Big data analytics: a survey

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.666436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b621199c-049d-44d4-805d-5c97cabcf064 · outbound

This paper cites Big data analytics: a lit erature review paper.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Big data analytics: a lit erature review paper

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.653393Z

Source-reported events for the cited work

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Observation cb6f01ee-1803-4aa4-9a11-05f6820b3345 · outbound

This paper cites So cial networks.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams So cial networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.638770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62b2a2fc-df08-47eb-a40f-d7d510cb5c99 · outbound

This paper cites Appli cation of data mining techniques in weather pre- diction and climate change studies.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Appli cation of data mining techniques in weather pre- diction and climate change studies

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.626022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 241640fe-7605-4676-a6e6-81d29798c1fd · outbound

This paper cites Business data minin g—a machine learning perspective.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Business data minin g—a machine learning perspective

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.613215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25a5aa68-b373-499c-b5f5-a3d8adf028a8 · outbound

This paper cites Temporal l ink prediction using graph embedding dynamics.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Temporal l ink prediction using graph embedding dynamics

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.601258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 386aa2b9-9f17-44a2-94fe-c4c3b145bd03 · outbound

This paper cites The Robustness of Structural Features in Species Interaction Networks.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams The Robustness of Structural Features in Species Interaction Networks

Reference 9

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Source-reported events for the cited work

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Observation bbbb70eb-ac82-435c-bc9b-f6af70e6cde0 · outbound

This paper cites Dynamic data mi ning of sensor data.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Dynamic data mi ning of sensor data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.588923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5985d4a-9db3-4f0d-8ad1-c6b694e42bf7 · outbound

This paper cites Machine learning algorithms-a review.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Machine learning algorithms-a review

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:18.240669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 053215db-c12c-41eb-b32d-92aeb5230e7f · outbound

This paper cites A two -dimensional self-coordination mechanism of agents in a minority game.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams A two -dimensional self-coordination mechanism of agents in a minority game

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.567663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df1f6c8a-cbec-44e9-bde7-7ae338180ea7 · outbound

This paper cites Machine learning on dynamic gra phs: A survey on applications.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Machine learning on dynamic gra phs: A survey on applications

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.554583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca203df5-a81f-46fc-b5ad-5444c8d5b7f5 · outbound

This paper cites Mining gps data for mobility p atterns: A survey.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Mining gps data for mobility p atterns: A survey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.540209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab98f1ae-261f-49d1-b724-30552fcffcb9 · outbound

This paper cites Mapreduce: simpliﬁe d data processing on large clusters.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Mapreduce: simpliﬁe d data processing on large clusters

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.524109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 583fcab8-3b10-4625-a1e8-742e9ee56d19 · outbound

This paper cites Study and analysis of decision tree based classiﬁcation algorithms.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Study and analysis of decision tree based classiﬁcation algorithms

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.509933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c4b05e4-e5f4-4d36-898e-d2bdf214c6f1 · outbound

This paper cites Decision tree methods: applic ations for classiﬁcation and prediction.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Decision tree methods: applic ations for classiﬁcation and prediction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.496379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f3b6203-2819-41b1-b93e-59934fcba3d1 · outbound

This paper cites Clustering methods.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Clustering methods

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.483247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e97c60b7-14ab-4177-8725-befcf0b45e21 · outbound

This paper cites The mythos of model interpretability : In machine learning, the concept of interpretability is both important and slippery.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams The mythos of model interpretability : In machine learning, the concept of interpretability is both important and slippery

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.470216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 482abbfc-b264-4db2-a7dd-de98e7290ad7 · outbound

This paper cites Algorithms for decision making.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Algorithms for decision making

Reference 20

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Source-reported events for the cited work

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Observation 37c652b7-f682-478e-8d71-36a1892348ee · outbound

This paper cites Design of spr int parallelization of data mining algorithms based on cloud computing.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Design of spr int parallelization of data mining algorithms based on cloud computing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.447957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13ff47c7-1341-4ff4-9f95-e710e7698c2a · outbound

This paper cites Scalpa rc: A new scalable and efﬁcient parallel classiﬁca- tion algorithm for mining large datasets.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Scalpa rc: A new scalable and efﬁcient parallel classiﬁca- tion algorithm for mining large datasets

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.434974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1b951e3-6ed4-421f-94e3-c7ecc023fe9e · outbound

This paper cites Mapreduce in the clouds for science.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Mapreduce in the clouds for science

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.420961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 15ebdf6d-ae1b-45a5-9317-658460718b00 · outbound

This paper cites Planet: massively parallel learning of tree ensembles with mapreduce.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Planet: massively parallel learning of tree ensembles with mapreduce

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.406870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 23e22717-28bb-4c3a-bb4d-810b47dbe144 · outbound

This paper cites A novel gr adient boosting regression tree technique optimized by improved sparrow search algorithm for predicting tbm pen etration rate.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams A novel gr adient boosting regression tree technique optimized by improved sparrow search algorithm for predicting tbm pen etration rate

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.394063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c1bb6ca-02a3-4dca-bf6e-6f3e5a186113 · outbound

This paper cites Gbdt-mo: gradient-b oosted decision trees for multiple outputs.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams Gbdt-mo: gradient-b oosted decision trees for multiple outputs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.380747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dbc3fcfe-4fd2-429c-b750-46dc9e436729 · outbound

This paper cites A vfdt algorithm optimization and appl ication thereof in data stream classiﬁcation.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams A vfdt algorithm optimization and appl ication thereof in data stream classiﬁcation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.367773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 61e6b52b-2bc2-405b-be86-2529ff054f68 · outbound

This paper cites The cart decision tree for mining data streams.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams The cart decision tree for mining data streams

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:18.353329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.