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Paper Citation Record · LEDGER

Efficient Mining of Low-Utility Sequential Patterns

As of 4 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2510.10243.

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

pith.paper-citation-record.v1
2510.10243 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T07:51:12.613329Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ffa7fe6-9490-43a8-84ce-cdd81241bace · outbound

This paper cites Data mining: an overview from a database perspective.

Efficient Mining of Low-Utility Sequential Patterns Data mining: an overview from a database perspective

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.233212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c4b624af-c78a-43b2-9eb1-f1fa219da14a · outbound

This paper cites PrefixSpan: Mining sequential patterns efficiently by prefix- projected pattern growth.

Efficient Mining of Low-Utility Sequential Patterns PrefixSpan: Mining sequential patterns efficiently by prefix- projected pattern growth

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.242823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:ce9a03d974aa2ccef8332c785ce8ac027238c17c8ddb16ed9947ce895dd28f9a

Observation 71c7595d-a30c-49e6-911f-c98bb1ac4920 · outbound

This paper cites Mining frequent patterns without candidate generation: A frequent-pattern tree approach.

Efficient Mining of Low-Utility Sequential Patterns Mining frequent patterns without candidate generation: A frequent-pattern tree approach

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.194660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0e83e4ce-e6d0-4555-a852-c320dca56101 · outbound

This paper cites Mining association rules between sets of items in large databases.

Efficient Mining of Low-Utility Sequential Patterns Mining association rules between sets of items in large databases

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.258562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:a164d80775f53ae520852985eafd47b8cae769fe171b921ac54adc4c4b48d9b5

Observation eacdd001-b78b-4fde-8890-5064fe63e6d7 · outbound

This paper cites Mining cross-level high utility itemsets in unstable and negative profit databases.

Efficient Mining of Low-Utility Sequential Patterns Mining cross-level high utility itemsets in unstable and negative profit databases

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.291258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:860633becbd1f49673faa3d6e2f922cdb1bec0b5b185f3bb9a99b143d060397f

Observation b019285a-df72-43b1-a187-d74ba1cfd3fe · outbound

This paper cites Toward targeted mining of RFM patterns.

Efficient Mining of Low-Utility Sequential Patterns Toward targeted mining of RFM patterns

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.264019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:d515ed9fa22015f5a7dc149f772bcad23510639813b416677a3a22251a8133e6

Observation 987408fa-759f-4a17-8ead-64a23b78baff · outbound

This paper cites Mining sequential patterns.

Efficient Mining of Low-Utility Sequential Patterns Mining sequential patterns

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.175890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:75fc9a0c2d263f5f42b0736c936ee2d6d46645ee24d003ea4fb4d0a51264762b

Observation 36621797-9ef4-4ea7-97e5-85433fbc4159 · outbound

This paper cites An efficient method for modeling nonoccurring behaviors by negative sequential patterns with loose constraints.

Efficient Mining of Low-Utility Sequential Patterns An efficient method for modeling nonoccurring behaviors by negative sequential patterns with loose constraints

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.185005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:7ca51bdcee15eee7039dcc6599252f849c1e839d03fff4ce44f0703515b771ce

Observation 5cea4035-2f8b-4a70-a002-dcdb4bf07ae2 · outbound

This paper cites e-RNSP: An efficient method for mining repetition negative sequential patterns.

Efficient Mining of Low-Utility Sequential Patterns e-RNSP: An efficient method for mining repetition negative sequential patterns

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.266711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:f07918dc9abdb176021b88da100bd5d2e7659427d4df62dcdb4335c8f5def50b

Observation 96ecf189-5274-4dc0-bc47-ded8720634b9 · outbound

This paper cites A survey of parallel sequential pattern mining.

Efficient Mining of Low-Utility Sequential Patterns A survey of parallel sequential pattern mining

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.182056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:e91f6480f8eac213cb555fc61801ed761b7e10da48f6711c3168786851cb91fc

Observation c6120f71-d012-4a47-b134-2535eac1da12 · outbound

This paper cites Anomaly rule detection in sequence data.

Efficient Mining of Low-Utility Sequential Patterns Anomaly rule detection in sequence data

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.261384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:d28f1e10beb65b77e5db5d062ed73b162c20c5a124d14cea1cdb62f22321c099

Observation a74aa721-9551-48d3-9b29-17b4c194004a · outbound

This paper cites Targeted mining precise- positioning episode rules.

Efficient Mining of Low-Utility Sequential Patterns Targeted mining precise- positioning episode rules

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.245809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:c604355fb8d22db9c7c3a81d34559e2dd6bde6323636c806095658a4444788bb

Observation a99b6cd4-a0a3-4dc8-b24c-e5607e850d30 · outbound

This paper cites USpan: An efficient algorithm for mining high utility sequential patterns.

Efficient Mining of Low-Utility Sequential Patterns USpan: An efficient algorithm for mining high utility sequential patterns

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.236380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:6506ad2139e68144b26685ff32fa288dce5b01619702f2479e0703b17adbf9ee

Observation 6f5d5c10-09d9-4a3e-b25a-707b99605355 · outbound

This paper cites ProUM: Projection-based utility mining on sequence data.

Efficient Mining of Low-Utility Sequential Patterns ProUM: Projection-based utility mining on sequence data

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.179103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:53ec28818c3b264dede71fbade0c96614274c03edfd62d775c3b89d5376ed131

Observation 85be1f66-2a0b-4d6b-b3ed-feaa25d3cf27 · outbound

This paper cites On incremental high utility sequential pattern mining.

Efficient Mining of Low-Utility Sequential Patterns On incremental high utility sequential pattern mining

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.281926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:05a4481c2f693172452a1f16afd55a2f5ce3e55bac422712e5cda3b9d5bf25b1

Observation 19eed234-cc1c-4a5d-9c4d-5993ccc086b5 · outbound

This paper cites Mining high utility mobile sequential patterns in mobile commerce environments.

Efficient Mining of Low-Utility Sequential Patterns Mining high utility mobile sequential patterns in mobile commerce environments

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.219912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:674fb3f18a17c88bcf4c8f8b557c1a604fa17f00543f47947b5c411467bf7714

Observation 4012b1ba-1cc2-4fb7-b0e6-6d2135485428 · outbound

This paper cites Applying the maximum utility measure in high utility sequential pattern mining.

Efficient Mining of Low-Utility Sequential Patterns Applying the maximum utility measure in high utility sequential pattern mining

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.269313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:3561920c782827f3e5ac0e37b12511f3a14e5d8472c6a8609579cb71d5f47480

Observation f09f0b64-d66e-4b2a-8867-0aec432e8e0a · outbound

This paper cites CRoM and HuspExt: Improving efficiency of high utility sequential pattern extraction.

Efficient Mining of Low-Utility Sequential Patterns CRoM and HuspExt: Improving efficiency of high utility sequential pattern extraction

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.285243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:d65e06e5a6bf9ecbac6847e1c3026ff05c897675080daa28a87bd1428534d9da

Observation 8bea6282-18ac-4288-b7bf-29d572061b87 · outbound

This paper cites HUSP-SP: Faster utility mining on sequence data.

Efficient Mining of Low-Utility Sequential Patterns HUSP-SP: Faster utility mining on sequence data

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.188164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:77705fe5e2ee19d7a00e8bd4956761c7377e82cc584fffdc0e76d989a58bc3e6

Observation 01c5168f-2178-4a6e-8b7b-d62a6e8c397a · outbound

This paper cites EHUSM: Mining high utility sequences with a pessimistic utility model.

Efficient Mining of Low-Utility Sequential Patterns EHUSM: Mining high utility sequences with a pessimistic utility model

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.216340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:d4ddc0ad5536077f7be6c6860a1353a7aee2a41060905b18815b7bfc975f499e

Observation 2fcba6be-6528-4d5b-a574-bbb59ba40d7b · outbound

This paper cites EHAUSM: An efficient algorithm for high average utility sequence mining.

Efficient Mining of Low-Utility Sequential Patterns EHAUSM: An efficient algorithm for high average utility sequence mining

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.239841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:2d68fc449afb964e5b490fb830383c7e7d26d85667723eb3b2ed0c4974295080

Observation dd48d3e7-d89e-4485-a050-5ebabdff3e09 · outbound

This paper cites Pattern mining: Current challenges and opportunities.

Efficient Mining of Low-Utility Sequential Patterns Pattern mining: Current challenges and opportunities

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.252902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:a676bf443cb4784afb6afce23a704335308b1ea85547cbcdd7a9d074d57f5d08

Observation 4662a81b-b022-43a7-ace6-1ad12e5a5587 · outbound

This paper cites Mining sequential patterns: Generalizations and performance improvements.

Efficient Mining of Low-Utility Sequential Patterns Mining sequential patterns: Generalizations and performance improvements

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.272628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:fd906491b56dc7e23303363d451a8548dba7d4dad630c1b170779a2828cccfae

Observation 72d9efef-f65f-4480-9cfc-7b4e2ca2f315 · outbound

This paper cites FreeSpan: Frequent pattern-projected sequential pattern mining.

Efficient Mining of Low-Utility Sequential Patterns FreeSpan: Frequent pattern-projected sequential pattern mining

Reference 24

Resolution
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raw_fallback, observed 2026-05-18T07:52:30.255552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:1f8b4e351fc5d714ca34e2c40c62a4cd127c25ca77b5895421951dba6be90be5

Observation bedd9cc3-1d91-48dd-b15d-1b2b5084e493 · outbound

This paper cites Sequential pattern mining using a bitmap representation.

Efficient Mining of Low-Utility Sequential Patterns Sequential pattern mining using a bitmap representation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.275974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:43c5f26ef6a349681fed8edba6db43379884dd629359f1888bf2f6ad5e377a7b

Observation 944c96d6-802a-4d47-855f-bf4bad874fe8 · outbound

This paper cites Fast vertical mining of sequential patterns using co-occurrence information.

Efficient Mining of Low-Utility Sequential Patterns Fast vertical mining of sequential patterns using co-occurrence information

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.191389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:6fd2c7a8f5d13ecd1a618395abad3a6faec384b7fcd3e7a60508279327126b6b

Observation bd15d915-c5ae-4aa0-82bc-c914e3ea44e9 · outbound

This paper cites NetNCSP: Nonoverlapping closed sequential pattern mining.

Efficient Mining of Low-Utility Sequential Patterns NetNCSP: Nonoverlapping closed sequential pattern mining

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.213042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:78dbc57ad21eca6f769f300613e92df661c4b2e70162f9ded4cccc70c8deec8d

Observation 5e1d671a-c911-4bd0-bd59-fd92a3eeae0b · outbound

This paper cites CloFAST: Closed sequential pattern mining using sparse and vertical id-lists.

Efficient Mining of Low-Utility Sequential Patterns CloFAST: Closed sequential pattern mining using sparse and vertical id-lists

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.198405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:75ea9c03781e604640841eb0ae38e01fe07ee9b52b32fdea8fa43e85dec3a57d

Observation b44fc23d-200a-4ba4-a75d-bafbc970f3de · outbound

This paper cites NetNMSP: Nonoverlapping maximal sequential pattern mining.

Efficient Mining of Low-Utility Sequential Patterns NetNMSP: Nonoverlapping maximal sequential pattern mining

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.279177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:c4a1b5792ab87f88a3e68e9bb6ce672b4da25f48d756d3ec07e918a44dca9d89

Observation da57fe64-bf90-40ef-b0cd-f4cd4964f813 · outbound

This paper cites Mining maximal sequential patterns without candidate maintenance.

Efficient Mining of Low-Utility Sequential Patterns Mining maximal sequential patterns without candidate maintenance

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.249788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:689b61cf2689cbb2c7cc4205931b7d7d4a9c6a1f4f03942ba1294265ecc56c09

Observation 28a3f8b5-f154-48ba-8276-1a5f4d461c05 · outbound

This paper cites SkOPUS: Mining top- k sequential patterns under leverage.

Efficient Mining of Low-Utility Sequential Patterns SkOPUS: Mining top- k sequential patterns under leverage

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.223555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:a0d3a4b599ad9440a22054a857642e5f439ad87ae4473a01260456eef1ef7d83

Observation 1fe72984-395b-409d-b1c3-94970179dc4d · outbound

This paper cites TKS: efficient mining of top-k sequential patterns.

Efficient Mining of Low-Utility Sequential Patterns TKS: efficient mining of top-k sequential patterns

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.202486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:214d0c3c66528ff31462b8c0e4e70fb96e846774021eff67d4d2acb5b40709b3

Observation ff20cd2d-810e-4658-b522-c46f119c6ba1 · outbound

This paper cites Goal-oriented sequential pattern for network banking churn analysis.

Efficient Mining of Low-Utility Sequential Patterns Goal-oriented sequential pattern for network banking churn analysis

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.206158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:09f3a0f0f446172f677e4f6889e5352e48ab923f89830df32adf0a68fe5055fc

Observation 0b054875-9790-4536-84f0-d869d1284696 · outbound

This paper cites Targeted mining of contiguous sequential patterns.

Efficient Mining of Low-Utility Sequential Patterns Targeted mining of contiguous sequential patterns

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.173206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:9e91bb03f525d1ee9a68352dd7be531e5224c552f44f182dd03c5c64c79b08e7

Observation b6791823-d61f-4085-97aa-065048cc6f93 · outbound

This paper cites A survey of utility-oriented pattern mining.

Efficient Mining of Low-Utility Sequential Patterns A survey of utility-oriented pattern mining

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.169832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:d646bd4db627849a7166dba06481b43f13f5cc9ca706f7fda980b84d455db651

Observation 69190bf8-9bce-4093-96f0-e874a0334436 · outbound

This paper cites On efficiently mining high utility sequential patterns.

Efficient Mining of Low-Utility Sequential Patterns On efficiently mining high utility sequential patterns

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.288078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 14f04d63-0c2c-47fe-bd1d-fee05724d668 · outbound

This paper cites Fast utility mining on sequence data.

Efficient Mining of Low-Utility Sequential Patterns Fast utility mining on sequence data

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.209622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:a63463d9a0ff8cab2d9ea4b9e5b6dc7849be499f95232908f1f61b17164d1b33

Observation 7dfcc395-74cb-43db-a732-46037224e350 · outbound

This paper cites Efficiently mining top-k high utility sequential patterns.

Efficient Mining of Low-Utility Sequential Patterns Efficiently mining top-k high utility sequential patterns

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.166441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 49d9eb29-64f8-4eee-bd91-274989b74613 · outbound

This paper cites LUIM: New low-utility itemset mining framework.

Efficient Mining of Low-Utility Sequential Patterns LUIM: New low-utility itemset mining framework

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.229976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:535f4359e43673e44506f88e27ced28f7fb60e31124e3606a6c30fb0f4597b46

Observation 8db345df-a00a-4c57-acfd-1c7bec78fd16 · outbound

This paper cites Enabling knowledge discovery through low utility itemset mining.

Efficient Mining of Low-Utility Sequential Patterns Enabling knowledge discovery through low utility itemset mining

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T07:52:30.226672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:51:12.613329Z digest=sha256:436a1e68937bccf3937cb3e71d1f575a85a26964d59c8939b9fd5766ff12e191

Pith citing papers

No inbound Pith citation observations are available.