https://eureka.patsnap.com/resources/blog/rd-blog/frequent-pattern-mining-fp-growth-tree-algorithm-patent-landscape/ · Patsnap · data cut-off 2026-10-22 · downloaded from the live page
Patent Landscape · Artificial Intelligence & Machine Learning

Frequent Pattern Mining and FP-Growth Tree Algorithm Patents

253 patent families on frequent pattern mining and FP-growth, with IBM topping a long tail of 94 listed filers across G06F, G06Q and G06N.

393
Published Records
253
Simple Patent Families
4%
Families Naming the Largest Filer
42%
In Force at Cut-off

393 published records collapse into 253 simple (DOCDB) families; the difference is the same invention filed in more than one country. INTERNATIONAL BUSINESS MACHINE CORPORATION is named on 11 of the 253 patent families in scope. One patent family can name several filers, so these figures are not slices of a divided whole and do not add up. In force = 164 of 393 records still granted and maintained at the data cut-off; the rest are pending, withdrawn, refused or lapsed.

  • 253 simple patent families and 393 published records make up this search on frequent pattern mining, FP-growth and itemset mining.
  • International Business Machine Corporation is named on 11 of the 253 families (4.3%), the highest share of any single listed filer.
  • 81 of the 94 listed filers hold 2 or fewer families each, the long tail behind the largest row.
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Published byPatsnap Research··5 min readSourced from Patsnap Eureka
Overview

What this dataset covers

This landscape draws on a search for frequent pattern mining, FP-growth and related itemset-mining terms across patent text, abstracts and claims. It returns 253 simple patent families (393 published records once every national and regional filing of the same invention is counted separately). The search string sets no date limit, so the records span whatever years the matching text was filed in, with no fixed start year.

Of the 393 published records, 164 (42%) were granted and still in force at retrieval. The remainder are pending, withdrawn, refused, lapsed or not determinable from the available data, and that breakdown is not split out further here.

Records and families in scope
  1. INTERNATIONAL BUSINESS MACHINE CORPORATION11
  2. UNIV OF ELECTRONICS SCI & TECH OF CHINA7
  3. GUANGDONG UNIV OF TECH4
  4. KUNMING UNIV OF SCI & TECH4
  5. HUAWEI TECH CO LTD4
  6. IND ACAD COOP GRP OF SEJONG UNIV3
  7. DAEGU GYEONGBUK INSTITUTE OF SCIENCE AND TECHNOLOGY3
  8. HARBIN INST OF TECH3
  9. NANJING UNIV OF AERONAUTICS & ASTRONAUTICS3
  10. CHUNGBUK NAT UNIV IND ACADEMIC COOPERATION FOUND3

Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. 2 rows in this table share the name NAT UNIV (NAT UNIV OF DEFENSE TECH, CHUNGBUK NAT UNIV IND ACADEMIC COOPERATION FOUND). They are left as separate rows, so the largest-filer figure above is per legal entity, not per group. Rows that look related still cannot be added together: one family can name several of them. Filings held by named individuals rather than organisations are removed where they can be identified (6 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 30 of the 94 filers returned for this search; the data endpoint returns at most 100 entities, so even that 94 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.

Source: Patsnap Eureka. Assignee ranking and totals. Derived from one Patsnap search for Frequent Pattern Mining FP Growth Tree Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-22. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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Data

Filing activity and technology split

The figures below are drawn directly from the search result set: a filing-trend chart counted in published records, and an IPC subclass breakdown counted in simple patent families.

Filing trend by earliest filing year

Published records rose from 3 in 2007 to a peak of 41 in 2023. Records filed from 2022 onward are still filling in as later filings publish, so the most recent years understate eventual totals and should not be read as a decline.

Filing trend by earliest filing year013253850320072009201120132015201720192021412023202592022 onwards are shaded as still filling in: a filing is only visible once it publishes, up to 30 months after filing.

Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two. This chart covers 2007-2026 (389 records); the 393 total quoted above includes earlier filings outside the window.

Technology composition by IPC subclass

G06F (electric digital data processing) appears on 72.3% of the 253 families, G06Q (business, commerce & admin data processing) on 24.1%, and G06N (computing based on AI models) on 20.6%. Because a family can carry more than one classification, these shares add up to more than 100%.

Technology composition by IPC subclassG06F · Electric digital data processi…18372.3%G06Q · Business, commerce & admin dat…6124.1%G06N · Computing based on AI models5220.6%H04L · Digital information transmissi…218.3%G06K · Data recognition & presentation197.5%G16H · Healthcare informatics166.3%H04W · Wireless communication networks62.4%G16B · Bioinformatics41.6%Other3915.4%

Shares are the percentage of the 253 patent families in scope. One patent family can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from one Patsnap search for Frequent Pattern Mining FP Growth Tree Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-22. Counts cover published records only and move as new filings publish.

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Example filing

A record from this result set

From the result set
US20180315161A12018-11-01

Frequent pattern mining method and apparatus

DAEGU GYEONGBUK INSTITUTE OF SCIENCE AND TECHNOLOGY

US20180315161A1 describes a frequent pattern mining apparatus that copies relative memory addresses of candidate itemsets from a main memory to the device memories of graphic processing units (GPUs), copies shared blocks needed to calculate itemset supports, and updates those supports by synchronizing the partial results the GPUs produce.This is the first record the database returns under its default order, not a ranking by citations, grant status or family size. It is shown to illustrate what one filing in this set actually claims, not as representative of the field.

US20180315161A1, patent drawing 1US20180315161A1, patent drawing 2
View full record

Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.

Source: Patsnap Eureka. The first record the search returned, shown in full. Derived from one Patsnap search for Frequent Pattern Mining FP Growth Tree Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-22. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
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Patterns in the data

What the filer and technology figures show

Three figures from the result set stand out: the single largest filer, the spread of the remaining filers, and the technology classes that carry the most of the dataset.

Largest single filer
11 families
of 253 (4.3%)

International Business Machine Corporation

International Business Machine Corporation is named on 11 of the 253 simple patent families in scope, 4.3% of the total. This is the highest share held by any single listed filer; it says nothing about the scope of its claims or the strength of any individual family.

Counted in simple patent families
Spread of filers
81 of 94
listed filers

Most listed filers hold 2 families or fewer

Of the 94 organisations in the listed filer set, 81 hold 2 or fewer simple patent families each. Filer rows are not mutually exclusive, a family can name more than one filer, so these counts cannot be added together into a combined share.

Counted in simple patent families
Technology split
72.3%
of 253 families carry G06F

G06F carries the largest share of the IPC mix

G06F (electric digital data processing) appears on 183 of the 253 families (72.3%). G06Q (business, commerce & admin data processing) follows at 24.1% and G06N (computing based on AI models) at 20.6%. Shares exceed 100% combined because a family can carry more than one class.

Counted in simple patent families
Legal status
164 of 393
records in force

42% of published records were granted and in force

At the retrieval date, 164 of the 393 published records (42%) were granted and still in force. The remaining records are pending, withdrawn, refused, lapsed or not determinable, and that breakdown is not separated out in this dataset.

Counted in published records, legal status at retrieval date
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Source: Patsnap Eureka. Derived observations on the same dataset. Derived from one Patsnap search for Frequent Pattern Mining FP Growth Tree Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-22. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
Next steps

Going deeper on a specific filer or filing

The figures here describe the shape of the result set. Reading what any particular filing covers, or tracking a specific organisation's activity over time, takes a closer look at individual records.

Pull the granted claims

A family count or an abstract cannot establish what a patent's claims require. For any filing that matters to a project, read the granted claim set directly.

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Track a specific filer

Rows in the filer list are not rolled up to corporate group, so tracking an organisation's full filing activity means searching by name directly rather than relying on this table alone.

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Source: Patsnap Eureka. Suggested next steps. No new data: every figure named here is one of those above. Derived from one Patsnap search for Frequent Pattern Mining FP Growth Tree Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-22. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this dataset

Answers are grounded in the same dataset. Derived from one Patsnap search for Frequent Pattern Mining FP Growth Tree Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-22. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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How this page was built, and what the numbers do and do not mean

Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:

TAC:(("frequent pattern mining" OR "FP-growth" OR "FP growth") AND (itemset OR pattern) AND (mining OR tree))

Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field. One subclass (G06F) carries 72.3% of the patent families, so this search returned a classification-tight set.

What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 393 records and 253 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.

Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (6 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 30 of the 94 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 94 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included

Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in. The data behind this page was retrieved on 2026-10-22.

Legal status. "In force" counts documents whose legal status at retrieval was granted and maintained (164 of 393). Everything else is pending, withdrawn, refused, lapsed or not determinable, and those states are not broken out here because the underlying codes do not separate them cleanly. Legal status changes continuously and is reported per document, not per family. Get the status breakdown in Eureka

Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level

Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.

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