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Related papers: Semantics of negative sequential patterns

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A sequential pattern with negation, or negative sequential pattern, takes the form of a sequential pattern for which the negation symbol may be used in front of some of the pattern's itemsets. Intuitively, such a pattern occurs in a…

Machine Learning · Computer Science 2023-09-22 Thomas Guyet

Sequential pattern discovery is a well-studied field in data mining. Episodes are sequential patterns describing events that often occur in the vicinity of each other. Episodes can impose restrictions to the order of the events, which makes…

Databases · Computer Science 2019-04-19 Nikolaj Tatti , Boris Cule

Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining. Sequential pattern mining…

Databases · Computer Science 2010-02-08 Mahdi Esmaeili , Fazekas Gabor

We review how the monotone pattern compares to other patterns in terms of enumerative results on pattern avoiding permutations. We consider three natural definitions of pattern avoidance, give an overview of classic and recent formulas, and…

Combinatorics · Mathematics 2007-11-28 Miklos Bona

Mining frequent sequential patterns consists in extracting recurrent behaviors, modeled as patterns, in a big sequence dataset. Such patterns inform about which events are frequently observed in sequences, i.e. what does really happen.…

Databases · Computer Science 2018-07-26 Thomas Guyet , René Quiniou

A composition of a nonnegative integer (n) is a sequence of positive integers whose sum is (n). A composition is palindromic if it is unchanged when its terms are read in reverse order. We provide a generating function for the number of…

Combinatorics · Mathematics 2007-05-23 Sergey Kitaev , Tyrrell B. McAllister , T. Kyle Petersen

Sequential modelling entails making sense of sequential data, which naturally occurs in a wide array of domains. One example is systems that interact with users, log user actions and behaviour, and make recommendations of items of potential…

Information Retrieval · Computer Science 2021-09-15 Christian Hansen

Negative avoiding sequences of span $n$ are periodic sequences of elements from $\mathbb{Z}_k$ for some $k$ with the property that no $n$-tuple occurs more than once in a period and if an $n$-tuple does occur then its negative does not.…

Combinatorics · Mathematics 2026-04-24 Chris J Mitchell , Peter R Wild

We find generating functions the number of strings (words) containing a specified number of occurrences of certain types of order-isomorphic classes of substrings called subword patterns. In particular, we find generating functions for the…

Combinatorics · Mathematics 2007-05-23 A. Burstein , T. Mansour

Patterns are words with terminals and variables. The language of a pattern is the set of words obtained by uniformly substituting all variables with words that contain only terminals. In their original definition, patterns only allow for…

Formal Languages and Automata Theory · Computer Science 2026-03-31 Klaus Jansen , Dirk Nowotka , Lis Pirotton , Corinna Wambsganz , Max Wiedenhöft

A target-oriented sequential pattern is a sequential pattern with a concerned itemset in the end of pattern. A time-interval sequential pattern is a sequential pattern with time-intervals between every pair of successive itemsets. In this…

Databases · Computer Science 2010-09-07 Hao-En Chueh

Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike positive SPM, negative SPM can discover events that should have occurred but have not occurred, and it can be used for financial risk management and fraud…

Databases · Computer Science 2022-07-26 Youxi Wu , Mingjie Chen , Yan Li , Jing Liu , Zhao Li , Jinyan Li , Xindong Wu

The meaning of a sentence is a function of the relations that hold between its words. We instantiate this relational view of semantics in a series of neural models based on variants of relation networks (RNs) which represent a set of…

Computation and Language · Computer Science 2018-11-27 Lei Yu , Cyprien de Masson d'Autume , Chris Dyer , Phil Blunsom , Lingpeng Kong , Wang Ling

Over the years, different meanings have been associated to the word consistency in the distributed systems community. While in the '80s "consistency" typically meant strong consistency, later defined also as linearizability, in recent…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-04-13 Paolo Viotti , Marko Vukolić

We present a sequential model for temporal relation classification between intra-sentence events. The key observation is that the overall syntactic structure and compositional meanings of the multi-word context between events are important…

Computation and Language · Computer Science 2017-07-25 Prafulla Kumar Choubey , Ruihong Huang

This paper presents and analysis the common existing sequential pattern mining algorithms. It presents a classifying study of sequential pattern-mining algorithms into five extensive classes. First, on the basis of Apriori-based algorithm,…

Databases · Computer Science 2013-11-05 Thabet Slimani , Amor Lazzez

Semantically non-compositional phrases constitute an intriguing research topic in Natural Language Processing. Semantic non-compositionality --the situation when the meaning of a phrase cannot be derived from the meaning of its components,…

Computation and Language · Computer Science 2019-08-16 Meghdad Farahmand

Sequence comparison is a prerequisite to virtually all comparative genomic analyses. It is often realized by sequence alignment techniques, which are computationally expensive. This has led to increased research into alignment-free…

Data Structures and Algorithms · Computer Science 2015-12-23 Maxime Crochemore , Gabriele Fici , Robert Mercaş , Solon P. Pissis

We use a probabilistic method to produce some combinatorial inequalities by considering pattern containment in permutations and words.

Combinatorics · Mathematics 2007-05-23 Alexander I. Burstein

Business process deviance refers to the phenomenon whereby a subset of the executions of a business process deviate, in a negative or positive way, with respect to {their} expected or desirable outcomes. Deviant executions of a business…

Artificial Intelligence · Computer Science 2021-11-25 Giacomo Bergami , Chiara Di Francescomarino , Chiara Ghidini , Fabrizio Maria Maggi , Joonas Puura
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