On the public citation graph
Mining Negative Sequential Patterns for E-commerce Recommendations
0 signed · 54 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bfb0014140openalex-snapshot
Mining sequential patterns: Generalizations and performance improvements
inferredcites →https://doi.org/10.1109/icde.1998.655812openalex-snapshot
Mining for strong negative associations in a large database of customer transactions
inferredcites →https://doi.org/10.1109/icde.2001.914830openalex-snapshot
PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth
inferredcites →https://doi.org/10.1109/icmlc.2007.4370257openalex-snapshot
Mining Negative Sequential Patterns in Transaction Databases
inferredcites →https://doi.org/10.1109/iih-msp.2007.222openalex-snapshot
Mining Generalized Association Rules for Service Recommendations for Digital Home Applications
inferredcites →https://doi.org/10.1145/1010614.1010616openalex-snapshot
Efficient mining of both positive and negative association rules
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.1430openalex-snapshot
Multivariate temporal data analysis ‐ a review
inferred← citeshttps://doi.org/10.1007/978-3-030-25128-4_58openalex-snapshot
An Efficient Weighted Negative Sequence Pattern Mining Algorithm with Multiple Minimum Support
inferred← citeshttps://doi.org/10.1007/978-3-031-00123-9_37openalex-snapshot
Mining Negative Sequential Rules from Negative Sequential Patterns
inferred← citeshttps://doi.org/10.1007/978-3-642-13657-3_30openalex-snapshot
An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns
inferred← citeshttps://doi.org/10.1007/978-981-92-0071-9_40openalex-snapshot
WSUI: An Efficient Weighted Sequential Pattern Mining Algorithm Using Indices and Frequency-Based Weighting
inferred← citeshttps://doi.org/10.1007/s10618-019-00672-wopenalex-snapshot
NegPSpan: efficient extraction of negative sequential patterns with embedding constraints
inferred← citeshttps://doi.org/10.1007/s10618-025-01110-wopenalex-snapshot
Sequential pattern detection: similarities and differences across various fields
inferred← citeshttps://doi.org/10.1007/s11042-021-11773-4openalex-snapshot
Hybridized optimization oriented fast negative sequential patterns mining
inferred← citeshttps://doi.org/10.1016/j.artint.2016.03.001openalex-snapshot
e-NSP: Efficient negative sequential pattern mining
inferred← citeshttps://doi.org/10.1016/j.future.2020.01.034openalex-snapshot
Efficient algorithms for mining clickstream patterns using pseudo-IDLists
inferred← citeshttps://doi.org/10.1016/j.patcog.2018.06.016openalex-snapshot
F-NSP + : A fast negative sequential patterns mining method with self-adaptive data storage
inferred← citeshttps://doi.org/10.1063/5.0151671openalex-snapshot
Mining sequential pattern for online shopping recommendation system using prefix span algorithm
inferred← citeshttps://doi.org/10.1109/access.2018.2827167openalex-snapshot
Efficient High Utility Negative Sequential Patterns Mining in Smart Campus
inferred← citeshttps://doi.org/10.1109/access.2023.3242327openalex-snapshot
Mining Interesting Negative Sequential Patterns Based on Influence
inferred← citeshttps://doi.org/10.1109/access.2023.3262823openalex-snapshot
An Effective Method for Mining Negative Sequential Patterns From Data Streams
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671809openalex-snapshot
NSPIS: Mining Negative Sequential Patterns with Individual Support
inferred← citeshttps://doi.org/10.1109/fskd.2015.7382047openalex-snapshot
SAPNSP: Select actionable positive and negative sequential patterns based on a contribution metric
inferred← citeshttps://doi.org/10.1109/fskd.2017.8393045openalex-snapshot
HUNSPM: An efficient algorithm for mining high utility negative sequential patterns
inferred← citeshttps://doi.org/10.1109/iecon.2017.8216579openalex-snapshot
NegI-NSP: Negative sequential pattern mining based on loose constraints
inferred← citeshttps://doi.org/10.1109/istel.2010.5734168openalex-snapshot
A new sequential classification to assist Ad auction agent in making decisions
inferred← citeshttps://doi.org/10.1109/iweca.2014.6845638openalex-snapshot
Comparisons of typical algorithms in negative sequential pattern mining
inferred← citeshttps://doi.org/10.1109/smc.2019.8914086openalex-snapshot
Mining Clickstream Patterns Using IDLists
inferred← citeshttps://doi.org/10.1109/tcyb.2018.2869907openalex-snapshot
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns
inferred← citeshttps://doi.org/10.1109/tnnls.2018.2886199openalex-snapshot
Mining Top-${k}$ Useful Negative Sequential Patterns via Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2020.3041732openalex-snapshot
Toward Better Structure and Constraint to Mine Negative Sequential Patterns
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3063162openalex-snapshot
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3202791openalex-snapshot
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences
inferred← citeshttps://doi.org/10.1109/tnse.2023.3278674openalex-snapshot
Data Analytic for Healthcare Cyber Physical System
inferred← citeshttps://doi.org/10.1145/3230348.3230460openalex-snapshot
Research on Pruning Techniques of Mining Weighted Sequential Patterns
inferred← citeshttps://doi.org/10.1145/3716390openalex-snapshot
Mining Repetitive Negative Sequential Patterns with Gap Constraints
inferred← citeshttps://doi.org/10.1145/3728358openalex-snapshot
Unified Empirical Evaluation and Comparison of Session-based Recommendation Algorithms
inferred← citeshttps://doi.org/10.1287/isre.2020.0972openalex-snapshot
Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work
inferred← citeshttps://doi.org/10.2174/1874444301507010934openalex-snapshot
Research on Typical Algorithms in Negative Sequential Pattern Mining
inferred← citeshttps://doi.org/10.2298/fil1805765qopenalex-snapshot
Mining negative sequential patterns from frequent and infrequent sequences based on multiple level minimum supports
inferred← citeshttps://doi.org/10.2298/fil1805875qopenalex-snapshot
Mining negative sequential patterns from infrequent positive sequences with 2-level multiple minimum supports
inferred← citeshttps://doi.org/10.3233/ifs-151980openalex-snapshot
Select actionable positive or negative sequential patterns
inferred← citeshttps://doi.org/10.3390/sym12122090openalex-snapshot
Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.644-650.1717openalex-snapshot
An Algorithm for Mining Weighted Negative Sequence Pattern
inferred← citeshttps://doi.org/10.48550/arxiv.1802.08452openalex-snapshot
Sequence-Aware Recommender Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2002.06920openalex-snapshot
Semantics of negative sequential patterns
inferred← citeshttps://doi.org/10.5120/12322-8539openalex-snapshot
Mining Positive and Negative Sequential Pattern in Incremental Transaction Databases
inferred← citeshttps://doi.org/10.70675/e0454a31ze1f0z472dzb554zb679b603e971openalex-snapshot
Contribution à l'apprentissage de Modèles de Markov Cachés pour l'estimation de l'état de santé de systèmes industriels
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.