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Negative Sequence Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11811305_10openalex-snapshot
Study of Positive and Negative Association Rules Based on Multi-confidence and Chi-Squared Test
inferredcites →https://doi.org/10.1007/978-0-387-79420-4openalex-snapshot
Data Mining for Business Applications
inferredcites →https://doi.org/10.1007/978-1-4471-2386-6openalex-snapshot
Information Engineering and Applications
inferredcites →https://doi.org/10.1007/978-1-4471-2386-6_18openalex-snapshot
An Incremental Update Algorithm for Sequential Patterns Mining
inferredcites →https://doi.org/10.1007/978-1-4471-2969-1_2openalex-snapshot
Modeling and Analysis of Social Activity Process
inferredcites →https://doi.org/10.1007/978-3-319-06608-0_4openalex-snapshot
Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information
inferredcites →https://doi.org/10.1007/978-3-540-71703-4_95openalex-snapshot
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
inferredcites →https://doi.org/10.1007/978-3-642-01307-2_65openalex-snapshot
Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data
inferredcites →https://doi.org/10.1007/978-3-642-04174-7_42openalex-snapshot
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns
inferredcites →https://doi.org/10.1007/978-3-642-13657-3_30openalex-snapshot
An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns
inferredcites →https://doi.org/10.1007/978-3-642-21916-0_35openalex-snapshot
FAST Sequence Mining Based on Sparse Id-Lists
inferredcites →https://doi.org/10.1007/978-3-642-37453-1_5openalex-snapshot
ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences
inferredcites →https://doi.org/10.1007/bfb0014140openalex-snapshot
Mining sequential patterns: Generalizations and performance improvements
inferredcites →https://doi.org/10.1007/s10115-004-0175-4openalex-snapshot
TSP: Mining top-k closed sequential patterns
inferredcites →https://doi.org/10.1007/s10115-015-0884-xopenalex-snapshot
CloFAST: closed sequential pattern mining using sparse and vertical id-lists
inferredcites →https://doi.org/10.1007/s10115-017-1032-6openalex-snapshot
FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy
inferredcites →https://doi.org/10.1007/s10489-014-0630-1openalex-snapshot
Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors
inferredcites →https://doi.org/10.1007/s10618-006-0059-1openalex-snapshot
Frequent pattern mining: current status and future directions
inferredcites →https://doi.org/10.1007/s10844-006-0006-zopenalex-snapshot
Constraint-based sequential pattern mining: the pattern-growth methods
inferredcites →https://doi.org/10.1007/s11280-015-0350-4openalex-snapshot
An effective contrast sequential pattern mining approach to taxpayer behavior analysis
inferredcites →https://doi.org/10.1016/j.artint.2016.03.001openalex-snapshot
e-NSP: Efficient negative sequential pattern mining
inferredcites →https://doi.org/10.1016/j.ins.2010.03.025openalex-snapshot
In-depth behavior understanding and use: The behavior informatics approach
inferredcites →https://doi.org/10.1016/j.ipm.2014.08.007openalex-snapshot
Coupling learning of complex interactions
inferredcites →https://doi.org/10.1023/a:1007652502315openalex-snapshot
SPADE: An Efficient Algorithm for Mining Frequent Sequences
inferredcites →https://doi.org/10.1093/comjnl/bxt084openalex-snapshot
Non-IIDness Learning in Behavioral and Social Data
inferredcites →https://doi.org/10.1109/apscc.2008.183openalex-snapshot
Mining Negative Sequential Patterns for E-commerce Recommendations
inferredcites →https://doi.org/10.1109/fskd.2008.245openalex-snapshot
Mining Positive and Negative Fuzzy Sequential Patterns in Large Transaction Databases
inferredcites →https://doi.org/10.1109/fskd.2015.7382047openalex-snapshot
SAPNSP: Select actionable positive and negative sequential patterns based on a contribution metric
inferredcites →https://doi.org/10.1109/gcis.2009.69openalex-snapshot
Mining Positive and Negative Fuzzy Multiple Level Sequential Patterns in Large Transaction Databases
inferredcites →https://doi.org/10.1109/gcis.2010.213openalex-snapshot
Mining Positive and Negative Sequential Patterns with Multiple Minimum Supports in Large Transaction Databases
inferredcites →https://doi.org/10.1109/icde.2004.1320012openalex-snapshot
An efficient algorithm for mining frequent sequences by a new strategy without support counting
inferredcites →https://doi.org/10.1109/icde.2013.6544840openalex-snapshot
Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects
inferredcites →https://doi.org/10.1109/icdm.2006.28openalex-snapshot
bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation
inferredcites →https://doi.org/10.1109/icdm.2013.148openalex-snapshot
Efficiently Mining Top-K High Utility Sequential Patterns
inferredcites →https://doi.org/10.1109/icicee.2012.32openalex-snapshot
Mining Weighted Negative Association Rules from Infrequent Itemsets Based on Multiple Supports
inferredcites →https://doi.org/10.1109/icmlc.2007.4370257openalex-snapshot
Mining Negative Sequential Patterns in Transaction Databases
inferredcites →https://doi.org/10.1109/is.2010.5548370openalex-snapshot
Discovery of events with negative behavior against given sequential patterns
inferredcites →https://doi.org/10.1109/iweca.2014.6845638openalex-snapshot
Comparisons of typical algorithms in negative sequential pattern mining
inferredcites →https://doi.org/10.1109/mis.2015.105openalex-snapshot
Nonoccurring Behavior Analytics: A New Area
inferredcites →https://doi.org/10.1109/pacrim.2011.6032938openalex-snapshot
SPEDS: A framework for mining sequential patterns in evolving data streams
inferredcites →https://doi.org/10.1109/tkde.2004.77openalex-snapshot
Mining sequential patterns by pattern-growth: the PrefixSpan approach
inferredcites →https://doi.org/10.1109/tkde.2007.190635openalex-snapshot
Mining Impact-Targeted Activity Patterns in Imbalanced Data
inferredcites →https://doi.org/10.1109/tkde.2009.143openalex-snapshot
Flexible Frameworks for Actionable Knowledge Discovery
inferredcites →https://doi.org/10.1109/tkde.2011.129openalex-snapshot
Coupled Behavior Analysis with Applications
inferredcites →https://doi.org/10.1109/tsmc.2015.2399862openalex-snapshot
Formalization and Verification of Group Behavior Interactions
inferredcites →https://doi.org/10.1109/wiiat.2008.60openalex-snapshot
Efficient Mining of Event-Oriented Negative Sequential Rules
inferredcites →https://doi.org/10.1142/s0218001417500021openalex-snapshot
e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns
inferredcites →https://doi.org/10.1142/s0218001417500033openalex-snapshot
E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports
inferredcites →https://doi.org/10.1142/s0218001417500355openalex-snapshot
Mining High Utility Sequential Patterns with Negative Item Values
inferredcites →https://doi.org/10.1142/s021800141959016xopenalex-snapshot
Campus Data Analysis Based on Positive and Negative Sequential Patterns
inferredcites →https://doi.org/10.1145/1010614.1010616openalex-snapshot
Efficient mining of both positive and negative association rules
inferredcites →https://doi.org/10.1145/1288552.1288555openalex-snapshot
Mining for combined association rules on multiple datasets
inferredcites →https://doi.org/10.1145/1835804.1835818openalex-snapshot
Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors
inferredcites →https://doi.org/10.1145/1835804.1835900openalex-snapshot
Mining positive and negative patterns for relevance feature discovery
inferredcites →https://doi.org/10.1145/2339530.2339546openalex-snapshot
Mining top-K high utility itemsets
inferredcites →https://doi.org/10.1145/2339530.2339683openalex-snapshot
Coupled behavior analysis for capturing coupling relationships in group-based market manipulations
inferredcites →https://doi.org/10.1145/2431211.2431218openalex-snapshot
Sequential pattern mining -- approaches and algorithms
inferredcites →https://doi.org/10.1145/354756.354849openalex-snapshot
Sequence mining in categorical domains
inferredcites →https://doi.org/10.1145/568574.568580openalex-snapshot
Constrained frequent pattern mining
inferredcites →https://doi.org/10.1145/584792.584799openalex-snapshot
Mining sequential patterns with constraints in large databases
inferredcites →https://doi.org/10.1145/775047.775109openalex-snapshot
Sequential PAttern mining using a bitmap representation
inferredcites →https://doi.org/10.2174/1874444301507010934openalex-snapshot
Research on Typical Algorithms in Negative Sequential Pattern Mining
inferredcites →https://doi.org/10.4018/978-1-59904-951-9.ch051openalex-snapshot
Domain-Driven Data Mining
inferredcites →https://doi.org/10.5120/12322-8539openalex-snapshot
Mining Positive and Negative Sequential Pattern in Incremental Transaction Databases
inferredcites →https://doi.org/10.5555/1457907.1457913openalex-snapshot
Mining strong positive and negative sequential patterns
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/10.1049/cje.2021.08.008openalex-snapshot
Detecting Three‐Dimensional Associations in Large Data Set
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/10.1145/3444368openalex-snapshot
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback
inferred← citeshttps://doi.org/10.1145/3549940openalex-snapshot
ONP-Miner: One-off Negative Sequential Pattern Mining
inferred← citeshttps://doi.org/10.48550/arxiv.2002.06920openalex-snapshot
Semantics of negative sequential patterns
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