SIAM Data Mining Conference (SDM): 2026 Guide

The SIAM International Conference on Data Mining (SDM) is SIAM’s flagship data-mining meeting, held annually since 2001 with three days of technical sessions plus co-located workshops. SDM26 convenes in 2026, while SDM25 is archived as a past event. This guide compares SDM against KDD, ICDM, and WSDM, covering dates, acceptance rates, ranking, and SIAM data mining workshop cost.

• SDM (the SIAM International Conference on Data Mining) is SIAM’s dedicated data-mining conference, distinct from the broader SIAM Annual Meeting and from ACM’s KDD and IEEE’s ICDM.
• The conference runs a single-track-ish main program with workshops, tutorials, and a doctoral forum co-located around it.
• Acceptance rates at SDM have historically sat in the low-to-mid 20% range for the research track — competitive but generally more accessible than KDD.
• SDM is a solid venue for methodological work with mathematical grounding; KDD and WSDM skew toward large-scale systems and web/retrieval respectively.
• Regarding the SIAM data mining workshop cost, registration is usually bundled with, or heavily discounted for, main-conference attendees (making it nearly a SIAM data mining workshop free for some) — check the specific year’s registration page for exact figures.

siam international conference on data mining 2026

The 2026 edition — branded SDM26 — is the current cycle researchers should plan around for siam data mining 2026. SIAM publishes the official conference page at siam.org/conferences-events/siam-conferences/sdm26/, which carries the authoritative dates, venue, and submission deadlines for siam on data mining. Because SIAM rotates venues across North America and occasionally beyond, the host city changes year to year, and the conference page is the only reliable source for the current location and data mining solutions sia.

Planning for SDM26 involves four concrete steps: (1) confirm the paper submission deadline, which typically falls in the autumn preceding the conference; (2) check the workshop proposal deadline, which is usually earlier still, and inquire about the siam data mining workshop cost or if there is a siam data mining workshop free option; (3) book travel once the venue is confirmed, since SIAM does not always announce the city a full year ahead; and (4) verify the registration tier that applies to you — student, SIAM member, or non-member.

A practical caveat: SIAM’s site structure separates “current conferences” from the “past event archive.” If you land on an archived page, you may be reading last year’s deadlines. Always cross-check the URL slug — sdm26 versus sdm25 — before you plan anything.

siam international conference on data mining sdm

SDM is the standard abbreviation, and it is the term you will see in citations, on Wikicfp, and in program-committee emails. The conference is organized by SIAM, the same society that publishes SIAM Journal on Mathematics of Data Science and runs the SIAM Annual Meeting. SDM’s identity is deliberately mathematical: papers tend to foreground statistical foundations, optimization, and provable properties alongside empirical results.

The scope of the conference covers the classic area of ​​data mining (classification, clustering, anomaly detection, graph mining, recommender systems, time series analysis and text mining), but with a methodological approach. For this reason, SDM attracts authors whose work falls between machine learning and statistics and is the natural home for the MLRec-style workshop on machine learning and data mining for recommender systems.

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Compared with KDD (ACM SIGKDD) and ICDM (IEEE), SDM is smaller. A smaller conference means shorter review queues, more interaction with senior researchers, and a program you can actually attend end to end. The trade-off is visibility: KDD and NeurIPS carry more citation weight in some hiring and promotion contexts, so the venue choice is a genuine strategic decision rather than a pure quality ranking.

siam international conference on data mining sdm 2026

SDM 2026 is the same event as SDM26 — the two spellings are interchangeable, and both appear in the wild. The conference program for a given year typically includes:

• A research track of peer-reviewed papers
• A applied-data-science track for deployed or industry work
• Tutorials, usually half-day
• Workshops, often half-day or full-day
• A doctoral forum for PhD students
• Keynotes from senior figures in data mining and statistics

The applied realm is worth highlighting, as that’s where industry data scientists (the audience for workshops like MLRec) will find the most directly transferable content. Applied-track papers are partially evaluated based on their real-world impact, which changes the evaluation criteria compared to the research track.

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For 2026 specifically, treat the SIAM conference page as the single source of truth. Third-party aggregators such as Wikicfp and conference-listing sites are useful for discovery but frequently lag on deadline changes, and a missed deadline is not recoverable.

siam international conference on data mining sdm26

SDM26 is the compact branding SIAM uses in its own URLs and internal references. The distinction matters for one practical reason: search engines and aggregators index “SDM26,” “SDM 2026,” and “siam international conference on data mining 2026” as separate strings, so a researcher searching only one form may miss the official page entirely. Searching two or three variants is a cheap habit that prevents planning errors.

SDM26’s co-located events are where the workshop ecosystem lives. Workshops at SDM are typically organized by researchers rather than by SIAM staff, which means their quality, siam data mining workshop cost, and format vary.

Some are siam data mining workshop free to registered attendees; others charge a separate fee to cover catering, room hire, or keynote honoraria. The MLRec workshop on machine learning and data mining for recommender systems is an example of the kind of focused, half-day event that SDM hosts alongside its main program.

siam international conference on data mining 2027

SDM 2027 follows the same annual cadence, and SIAM has historically maintained continuity in the conference’s structure even as venues rotate. Prospective authors should expect the 2027 submission window to open in the second half of 2026, with the conference itself in the following spring. Because SIAM does not publish full 2027 details until the 2026 event concludes, the responsible move is to monitor the SIAM conference listing page rather than rely on any single aggregator.

A useful planning heuristic: if you are targeting SDM 2027, start your experimental work roughly twelve months out. Data-mining review cycles reward thorough empirical evaluation, and papers assembled in the final six weeks rarely clear the bar at a venue with a low-to-mid-20s acceptance rate.

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siam international conference on data mining 2025

SDM 2025 is now a past event, archived at siam.org/conferences-events/past-event-archive/sdm25/. The archive is genuinely useful, not just historical: it shows the accepted-paper list, the workshop lineup, and the program structure that SDM 2026 will likely echo. Reading last year’s accepted papers is one of the fastest ways to calibrate whether your work fits the venue.

The archive also reveals the practical structure of the conference: length of sessions, the balance between research and applied tracks, and which workshops are repeated each year. Recurring workshops indicate a stable community; one-off workshops may not return.

siam international conference on data mining acceptance rate

SDM’s research-track acceptance rate has historically fallen in the low-to-mid 20% range, though the exact figure moves each year with submission volume. SIAM does not always publish a headline rate, so the most reliable approach is to count accepted papers against submitted papers once both are available, or to consult the program chair’s summary if one is posted.

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Three factors drive year-to-year variation:

1. Submission volume, which spikes when a deadline is extended or when a competing venue shifts its dates.
2. Track capacity, since a fixed number of presentation slots caps acceptances regardless of quality.
3. Review calibration, because a program committee with many new members may score differently than a seasoned one.

For authors, the practical implication is that SDM is competitive but not lottery-like. A paper with solid methodology, honest baselines, and reproducible experiments has a real chance — which is not always true at the largest venues.

siam international conference on data mining ranking

SDM is generally regarded as a strong, well-respected specialized conference rather than a top-tier general venue. In informal community rankings it sits below KDD, NeurIPS, ICML, and ICLR, and roughly alongside or slightly below ICDM and WSDM depending on subfield. For data-mining-specific work with a mathematical flavor, SDM’s reputation is solid and its papers are cited.

Ranking caveats matter here. First, no single ranking is authoritative; CORE, Google Scholar h5-index, and departmental lists disagree. Second, ranking matters most for early-career researchers facing hiring committees that use coarse filters. Third, for industry data scientists, the applied track and workshop participation often deliver more career value than the main-track ranking does.

Comparing SDM with the alternatives

Venue	Organizer	Scope emphasis	Relative size	Typical acceptance band
SDM	SIAM	Mathematical data mining	Smaller	Low-to-mid 20%
KDD	ACM SIGKDD	Broad data mining & applied ML	Largest	Low 20s or below
ICDM	IEEE	Data mining, broad	Large	Low-to-mid 20s
WSDM	ACM	Web search & data mining	Medium	Mid 20s

Bands are approximate and shift annually; verify against each venue’s current call for papers. The table is a decision aid, not a ranking.

How to decide whether SDM is right for your paper

Choosing a venue is a fit problem, not a prestige problem. The SIAM International Conference on Data Mining (SDM) rewards work that is mathematically grounded, carefully evaluated, and clearly positioned within data mining rather than general machine learning.

If your paper’s core contribution is a new architecture for image classification, KDD or a vision venue is a better home. If your contribution is a new estimator with consistency guarantees for graph clustering, SIAM on Data Mining is close to ideal.

For recommender-systems work specifically, the calculus is more nuanced. RecSys (ACM) is the dedicated venue, but SDM’s workshops — including MLRec — offer a lower-stakes, high-feedback environment that is often better for early-stage ideas. A common and effective strategy is to workshop a paper first and submit the matured version to a main track the following cycle, such as for SIAM Data Mining 2026.

Workshop logistics: cost, access, and refunds

Workshop economics at the SIAM International Conference on Data Mining (SDM) vary by event. Some workshops are free to main-conference registrants; others levy a modest fee. The variables that determine the SIAM data mining workshop cost are room hire, catering, whether the workshop is half-day or full-day, and whether it has industry sponsorship.

• Cost: Check the specific workshop’s page. SIAM’s main registration page lists what is included; workshop fees, when they exist, are usually itemized separately.
• Free access: Many workshops are included with full registration, making the SIAM data mining workshop free for some. Student registrants sometimes get workshop access at no extra charge.
• Online attendance: Since the pandemic era, several SIAM events have offered hybrid or virtual options. Whether a given workshop is streamed depends on the organizers, not SIAM centrally.
• Refunds: SIAM’s general registration policy governs cancellations, and workshop fees typically follow the same schedule. Read the policy at the point of purchase, because workshop-specific refund terms are sometimes stricter.

The honest recommendation: Don’t assume a workshop is free and don’t assume it will be streamed. Both facts change from year to year and are determined by the organizers.

Authoritative sources to bookmark

• SIAM’s official conference hub: siam.org/conferences-events — the canonical listing for SDM and all SIAM meetings.
• SIAM’s past-event archive: siam.org/conferences-events/past-event-archive — accepted papers and programs from prior years.
• The Wikicfp entry for SDM: wikicfp.com — useful for deadline discovery, but verify against SIAM.
• For background on the field itself, the Wikipedia article on data mining gives a neutral overview of subareas and history.

Sources & Further Reading

• Data mining — Wikipedia: Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database…

Frequently Asked Questions

What is the SIAM International Conference on Data Mining?

The SIAM International Conference on Data Mining (SDM) is an annual research conference organized by the Society for Industrial and Applied Mathematics that focuses on the mathematical and statistical foundations of data mining. It has existed since 2001 and includes a research area, an application area, tutorials, workshops and a doctoral forum. It differs from the broader SIAM annual meeting.

When and where is the SIAM International Conference on Data Mining 2026?

SDM26 details — exact dates and venue — are published on SIAM’s official conference page at siam.org/conferences-events/siam-conferences/sdm26/. SIAM rotates host cities year to year, so the location changes annually. Always confirm against that page rather than a third-party aggregator, which may carry stale information.

What is the acceptance rate for the SIAM International Conference on Data Mining?

SDM’s research-track acceptance rate has historically been in the low-to-mid 20% range, varying with submission volume and available presentation slots. SIAM does not consistently publish a headline rate, so the most reliable method is to compare the accepted-paper list with the submitted count once both are available.

How is the SIAM International Conference on Data Mining ranked?

SDM is widely regarded as a highly specialized data mining site, generally ranking below KDD, NeurIPS, ICML, and ICLR and roughly alongside ICDM and WSDM in informal community rankings. Rankings differ depending on the source (CORE, h5 index, and department lists do not match), so consider each individual ranking as a guide and not a final one.

Are SDM workshops free, and can I attend online?

Workshop costs at SDM are set by individual organizers, not by SIAM centrally. Some workshops are free to registered attendees, others charge a separate fee, and hybrid or virtual options depend on the organizers. Check the specific workshop page and SIAM’s registration terms before committing, and read the refund policy at the point of purchase.

What is the difference between SDM 2025 and SDM 2026?

SDM 2025 is a completed event, archived on SIAM’s past-event page with its accepted papers and program. SDM 2026 is the current cycle, with its own deadlines, venue, and program. Reading the 2025 archive is a practical way to judge fit and calibrate expectations for the 2026 submission.

P.S. A few readers have asked which interactive learning platform we actually reach for — it's DataCamp; take a look here if you want the current details.