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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Bultheel, Adhemar;

    ispartof: BMS-NCM News vol:63 ispartof: BMS-NCM News nrpages: 2 status: published

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    Lirias
    Other ORP type . 2007
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      Lirias
      Other ORP type . 2007
      Data sources: Lirias
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Pijpops, Dirk; Speelman, Dirk;

    I. INTRODUCTION In Dutch, a number of psych verbs exhibit an alternation between a reflexive (1) and transitive argument construction (2). The present corpus study investigates what factors drive the choice of the language user between these constructions, for the verbs ergeren (‘to annoy’), interesseren (‘to interest’), storen (‘to disturb’) and verbazen (‘to amaze’). (1) Reflexive construction (experiencer-subject) Daar erger ik me groen en geel aan. (CGN) There annoy I myself green and yellow to ‘That greatly annoys me.’ (2) Transitive construction (stimulus-subject) Dit […] ergerde de Romeinen mateloos. (ConDiv) This […] annoyed the Romans excessively ‘This […] excessively annoyed the Romans.’ II. HYPOTHESES A. Agentivity hypothesis The agentivity hypothesis is put forward, be it in varying forms, in quite different theoretical frameworks (a.o. Dowty 1991; Langacker 1995; Pesetsky 1995). It may be summarized as follows. For mental states or events, it is not always clear which of the participants, i.e. the stimulus or experiencer, is more agentive. This causes variation in argument realization. The more agentive participant is assigned subject position. This hypothesis may operate at two levels. At the type level, the agentivity hypothesis states that verbs whose lexical meaning attributes a more agentive role to the experiencer, will be more compatible with experiencer-subject constructions. The operationalization of the agentivity hypothesis at this level is taken over from Van de Velde (2004: 53–55) and embodied by the variable Verb. This operationalization leads us to consider interesseren (‘to interest’) to entail the most agentive experiencer, followed by either ergeren (‘to annoy’) or storen (‘to disturb’), and finally verbazen (‘to amaze’). Preference for the transitive construction is therefore expected to rise from interesseren to either ergeren or storen and finally to verbazen. The second level is the token level. Here, the agentivity hypothesis predicts that given a particular utterance, the language user will put the currently most agentive participant in subject position. The operationalization at the token level is taken over from Levin and Grafmiller (2012) and embodied by the variable Stimulus-Animacy. It predicts that utterances with animate stimuli will prefer the transitive construction, while inanimate objects, especially abstract entities, will prefer the reflexive construction. B. Etymology hypothesis The etymology hypothesis is inspired on Klein and Kutscher (2005), who posit that it’s not the psychological meaning of psych verbs that determines their argument construction, but rather their (ties with a former) physical meaning. Etymological inquiry led us to suspect that storen most strongly favors the transitive construction, followed by either ergeren (‘to annoy’) or verbazen (‘to amaze’), and finally interesseren (‘to interest’). C. Topicality hypothesis The topicality hypothesis is operationalized through the variables Stimulus- and Experiencer-Topicality. These variables present a scale ranging from the first and second persons, to the third person pronouns, the definite nouns and the indefinite nouns. It is expected that preference for object position rises as we go to the end of this scale. III. RESULTS All instances of the four verbs were extracted from the Corpus of Spoken Dutch (CGN, Oostdijk et al. 2002) and the ConDiv corpus (Grondelaers et al. 2000). These instances were manually checked, and a number of them had to be excluded. The resulting dataset contained 1810 occurrences, which were tagged for the hypothesis-driven variables presented above, and number of nuisance variables. Next, a logistic regression model was composed using a stepwise variable selection procedure. The hypothesis-driven variables turned out to be the most important predictors in the model. Their effect plots can be found in Figure 1. The variable Verb does not confirm the agentivity hypothesis at the type-level, nor the etymology hypothesis. Conversely, the variable Stimulus-Animacy does more or less confirm the animacy hypothesis at the token level. The topicality hypothesis is confirmed by Stimulus-Topicality, but Experiencer-Topicality behaves exactly opposite to what was predicted. However, we will show that in retrospect, such behavior might not be as aberrant as it appears on first sight. IV. CONCLUSIONS To end with, we shortly summarize the relevance of this study for theories of argument realization. First, the study has shown that inter- and intralingual generalizations such as the agentivity and topicality hypothesis definitely seem possible (cf. Levin and Rappaport Hovav 2005). Second, our failure to confirm the type level agentivity hypothesis means that caution may be in order when applying the agentivity hypothesis too rigidly at the type level. Finally, the confirmation of the token level agentivity hypothesis seems to indicate that argument constructions do seem to add meaning to utterances, separately from the meaning of the verb (Goldberg 1995; Colleman and De Clerck 2009). ispartof: New Ways of Analyzing Syntactic Variation location:Ghent date:19 May - 20 May 2016 status: published

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    Lirias
    Lecture . 2016
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      Lirias
      Lecture . 2016
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dewitte, Pierre; Rossello, Stephanie;

    The event will highlight the latest legal, technical and ethical challenges in the data market context. In the morning, attention will be drawn to the regulatory framework of the data economy ecosystem, the Data Governance Act, the data ownership debate and ELI/ALI principles. An afternoon session will explore the insights from Safe-DEED’s extensive research on improving security technologies, trust and the diffusion of privacy enhancing technologies on data marketplaces. ispartof: Safe-DEED location:Online status: published

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    Lirias
    Lecture . 2021
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      Lirias
      Lecture . 2021
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    Authors: De Witte, Nico; Van Landschoot, Sille; Cordemans, Tom;

    Presentatie over hoe LoRaWAN technologie uitgebouwd kan worden in een IoT toepassing. We bespreken de architectuur waarbij we aandacht hebben voor de applicatie, netwerk en sensoren. Presentatie gegeven voor de industriële partners op de VIVES campus Brugge. ispartof: Lorawan: van node tot applicatie location:BRUGES status: published

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    Lirias
    Lecture . 2019
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      Lecture . 2019
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    Authors: Vermeylen, Kamiel;

    Interview sur les élections locales en Turquie. status: published

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    Lirias
    Other ORP type . 2019
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      Lirias
      Other ORP type . 2019
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    Authors: Stevens, Yves; De Witte, Kim;

    nrpages: 20 status: published

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    Lirias
    Other ORP type . 2007
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      Lirias
      Other ORP type . 2007
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    Authors: Blockeel, Hendrik;

    Machine learning and data mining keep gaining importance in terms of providing auxiliary methods and tools to other fields. They are strongly related to each other, in the sense that they address similar tasks and problems settings. They are also very broad with respect to the type of task that is addressed, the type of data being analyzed, the type of patterns that can be found, and the kind of approach that is used. This talk will give an overview of this diversity. The focus will not be on how specific methods or algorithms work, but on: 1. Tasks: what are the prototypical tasks and problem settings that have been identified in these areas; 2. Representations: how can the input be represented, what impact does the choice of input representation have, how can the output be represented, what are the advantages and disadvantages of output representations; 3. Approaches: from the use of ready-made push-the-button systems to approaches that allow for active modeling of the task and background knowledge. The discussion will be illustrated with concrete applications, including applications in software design where available. ispartof: JIMSE 2012 -- 2012 Joint Workshop on Intelligent Methods for Software System Engineering -- Proceedings of the workshop pages:67-67 ispartof: JIMSE: Joint workshops on Intelligent Methods for Software System Engineering location:Montpellier date:28 Aug - 28 Aug 2012 status: published

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    Lirias
    Lecture . 2012
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      Lecture . 2012
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    Authors: Zaman, Bieke; Geerts, David;

    ispartof: Young people and new technologies. location:Northampton, UK 2005 status: published

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    Lecture . 2005
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      Lecture . 2005
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    Authors: Messelis, Tommy; De Causmaecker, Patrick;

    status: published

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    Lirias
    Other ORP type . 2009
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      Other ORP type . 2009
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    Authors: Ramon, Jan; Haghir Chehreghani, Mostafa;

    Given a graph class ${\cal L}$, a matching operator $\le$ (usually subgraph isomorphism), a multiset $DB$ of elements of ${\cal L}$ (the database) and a treshold $t$, the problem $F({\cal L},\le,DB,t)$ of frequent subgraph pattern mining is to list all elements $P$ of ${\cal L}$ for which the frequency $freq(P,DB)=\#\{G\in DB\mid P\le G\}$ is at least $t$. The problem parameters are the number of graphs in $DB$ and the number of nodes in the largest graph in $DB$. The task of frequent pattern mining is a fundamental problem studied in the field of data mining. In previous work, Horvath and Ramon have studied the complexity of this listing problem. For the class of all trees, and for any monotone graph class for which the matching operator $\le$ can be decided in polynomial time, the problem $F({\cal L},\le,DB,t)$ can be solved with polynomial delay. On the other hand, in the general case, e.g. when ${\cal L}$ is the class of all graphs and $\le$ is the subgraph isomorphism relation, $F({\cal L},\le,DB,t)$ can not even be solved in output-polynomial time. Surprisingly, in some cases, such as for the class of graphs of bounded treewidth, the matching operator (subgraph isomorphism) is NP-hard while it is still possible to solve $F({\cal L},\le,DB,t)$ in incremental polynomial time. Because the number of frequent subgraph patterns may be huge in practice, several approaches have been considered to reduce the number of patterns without losing information. One way is to only consider closed patterns. Several notions of ``closed pattern'' have been considered. A subgraph pattern $P$ is frequency-closed if each of its supergraphs have a strictly smaller frequency. A subgraph pattern $P$ is embedding-closed if there does not exist a supergraph $C>P$ such that for each embedding $\varphi_P:P\to G$ of $P$ into a graph $G\in DB$, $\varphi_P$ can be extended into an embedding $\varphi_C\supseteq \varphi_P$ of $C$ into $G$. In this work, we study the complexity of mining frequent closed subgraph patterns, i.e. given a graph class ${\cal L}$, matching operator $\le$, database $DB$, treshold $t$ and notion of closed pattern $cl$, the problem $FC({\cal L},\le,DB,t,cl)$ is to list all $cl$-closed patterns which have frequency at least $t$ in $DB$. In particular, we show the following new results: i) if the matching operator $\le$ is NP-hard, then $FC({\cal L},\le,DB,t,cl)$ can not be solved in output-polynomial time. ii) if ${\cal L}$ is a monotone graph class and $\le$ can be decided in polynomial time, then $FC({\cal L},\le,DB,t,cl)$ can be solved with polynomial delay. iii) for trees, mining frequency-closed subtree patterns is not possible with polynomial delay (unless P=NP). We also provide upper bounds for the complexity of mining embedding-closed trees and graphs of bounded treewidth and degree. ispartof: Proceedings of the 8th French Conference on Combinatorics pages:1-1 ispartof: French Conference on Combinatorics location:Paris, France date:28 Jun - 2 Jul 2010 status: published

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    Authors: Bultheel, Adhemar;

    ispartof: BMS-NCM News vol:63 ispartof: BMS-NCM News nrpages: 2 status: published

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    Authors: Pijpops, Dirk; Speelman, Dirk;

    I. INTRODUCTION In Dutch, a number of psych verbs exhibit an alternation between a reflexive (1) and transitive argument construction (2). The present corpus study investigates what factors drive the choice of the language user between these constructions, for the verbs ergeren (‘to annoy’), interesseren (‘to interest’), storen (‘to disturb’) and verbazen (‘to amaze’). (1) Reflexive construction (experiencer-subject) Daar erger ik me groen en geel aan. (CGN) There annoy I myself green and yellow to ‘That greatly annoys me.’ (2) Transitive construction (stimulus-subject) Dit […] ergerde de Romeinen mateloos. (ConDiv) This […] annoyed the Romans excessively ‘This […] excessively annoyed the Romans.’ II. HYPOTHESES A. Agentivity hypothesis The agentivity hypothesis is put forward, be it in varying forms, in quite different theoretical frameworks (a.o. Dowty 1991; Langacker 1995; Pesetsky 1995). It may be summarized as follows. For mental states or events, it is not always clear which of the participants, i.e. the stimulus or experiencer, is more agentive. This causes variation in argument realization. The more agentive participant is assigned subject position. This hypothesis may operate at two levels. At the type level, the agentivity hypothesis states that verbs whose lexical meaning attributes a more agentive role to the experiencer, will be more compatible with experiencer-subject constructions. The operationalization of the agentivity hypothesis at this level is taken over from Van de Velde (2004: 53–55) and embodied by the variable Verb. This operationalization leads us to consider interesseren (‘to interest’) to entail the most agentive experiencer, followed by either ergeren (‘to annoy’) or storen (‘to disturb’), and finally verbazen (‘to amaze’). Preference for the transitive construction is therefore expected to rise from interesseren to either ergeren or storen and finally to verbazen. The second level is the token level. Here, the agentivity hypothesis predicts that given a particular utterance, the language user will put the currently most agentive participant in subject position. The operationalization at the token level is taken over from Levin and Grafmiller (2012) and embodied by the variable Stimulus-Animacy. It predicts that utterances with animate stimuli will prefer the transitive construction, while inanimate objects, especially abstract entities, will prefer the reflexive construction. B. Etymology hypothesis The etymology hypothesis is inspired on Klein and Kutscher (2005), who posit that it’s not the psychological meaning of psych verbs that determines their argument construction, but rather their (ties with a former) physical meaning. Etymological inquiry led us to suspect that storen most strongly favors the transitive construction, followed by either ergeren (‘to annoy’) or verbazen (‘to amaze’), and finally interesseren (‘to interest’). C. Topicality hypothesis The topicality hypothesis is operationalized through the variables Stimulus- and Experiencer-Topicality. These variables present a scale ranging from the first and second persons, to the third person pronouns, the definite nouns and the indefinite nouns. It is expected that preference for object position rises as we go to the end of this scale. III. RESULTS All instances of the four verbs were extracted from the Corpus of Spoken Dutch (CGN, Oostdijk et al. 2002) and the ConDiv corpus (Grondelaers et al. 2000). These instances were manually checked, and a number of them had to be excluded. The resulting dataset contained 1810 occurrences, which were tagged for the hypothesis-driven variables presented above, and number of nuisance variables. Next, a logistic regression model was composed using a stepwise variable selection procedure. The hypothesis-driven variables turned out to be the most important predictors in the model. Their effect plots can be found in Figure 1. The variable Verb does not confirm the agentivity hypothesis at the type-level, nor the etymology hypothesis. Conversely, the variable Stimulus-Animacy does more or less confirm the animacy hypothesis at the token level. The topicality hypothesis is confirmed by Stimulus-Topicality, but Experiencer-Topicality behaves exactly opposite to what was predicted. However, we will show that in retrospect, such behavior might not be as aberrant as it appears on first sight. IV. CONCLUSIONS To end with, we shortly summarize the relevance of this study for theories of argument realization. First, the study has shown that inter- and intralingual generalizations such as the agentivity and topicality hypothesis definitely seem possible (cf. Levin and Rappaport Hovav 2005). Second, our failure to confirm the type level agentivity hypothesis means that caution may be in order when applying the agentivity hypothesis too rigidly at the type level. Finally, the confirmation of the token level agentivity hypothesis seems to indicate that argument constructions do seem to add meaning to utterances, separately from the meaning of the verb (Goldberg 1995; Colleman and De Clerck 2009). ispartof: New Ways of Analyzing Syntactic Variation location:Ghent date:19 May - 20 May 2016 status: published

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    Authors: Dewitte, Pierre; Rossello, Stephanie;

    The event will highlight the latest legal, technical and ethical challenges in the data market context. In the morning, attention will be drawn to the regulatory framework of the data economy ecosystem, the Data Governance Act, the data ownership debate and ELI/ALI principles. An afternoon session will explore the insights from Safe-DEED’s extensive research on improving security technologies, trust and the diffusion of privacy enhancing technologies on data marketplaces. ispartof: Safe-DEED location:Online status: published

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    Authors: De Witte, Nico; Van Landschoot, Sille; Cordemans, Tom;

    Presentatie over hoe LoRaWAN technologie uitgebouwd kan worden in een IoT toepassing. We bespreken de architectuur waarbij we aandacht hebben voor de applicatie, netwerk en sensoren. Presentatie gegeven voor de industriële partners op de VIVES campus Brugge. ispartof: Lorawan: van node tot applicatie location:BRUGES status: published

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    Authors: Vermeylen, Kamiel;

    Interview sur les élections locales en Turquie. status: published

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    Authors: Stevens, Yves; De Witte, Kim;

    nrpages: 20 status: published

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    Authors: Blockeel, Hendrik;

    Machine learning and data mining keep gaining importance in terms of providing auxiliary methods and tools to other fields. They are strongly related to each other, in the sense that they address similar tasks and problems settings. They are also very broad with respect to the type of task that is addressed, the type of data being analyzed, the type of patterns that can be found, and the kind of approach that is used. This talk will give an overview of this diversity. The focus will not be on how specific methods or algorithms work, but on: 1. Tasks: what are the prototypical tasks and problem settings that have been identified in these areas; 2. Representations: how can the input be represented, what impact does the choice of input representation have, how can the output be represented, what are the advantages and disadvantages of output representations; 3. Approaches: from the use of ready-made push-the-button systems to approaches that allow for active modeling of the task and background knowledge. The discussion will be illustrated with concrete applications, including applications in software design where available. ispartof: JIMSE 2012 -- 2012 Joint Workshop on Intelligent Methods for Software System Engineering -- Proceedings of the workshop pages:67-67 ispartof: JIMSE: Joint workshops on Intelligent Methods for Software System Engineering location:Montpellier date:28 Aug - 28 Aug 2012 status: published

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    Authors: Zaman, Bieke; Geerts, David;

    ispartof: Young people and new technologies. location:Northampton, UK 2005 status: published

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    Authors: Messelis, Tommy; De Causmaecker, Patrick;

    status: published

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    Other ORP type . 2009
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    Authors: Ramon, Jan; Haghir Chehreghani, Mostafa;

    Given a graph class ${\cal L}$, a matching operator $\le$ (usually subgraph isomorphism), a multiset $DB$ of elements of ${\cal L}$ (the database) and a treshold $t$, the problem $F({\cal L},\le,DB,t)$ of frequent subgraph pattern mining is to list all elements $P$ of ${\cal L}$ for which the frequency $freq(P,DB)=\#\{G\in DB\mid P\le G\}$ is at least $t$. The problem parameters are the number of graphs in $DB$ and the number of nodes in the largest graph in $DB$. The task of frequent pattern mining is a fundamental problem studied in the field of data mining. In previous work, Horvath and Ramon have studied the complexity of this listing problem. For the class of all trees, and for any monotone graph class for which the matching operator $\le$ can be decided in polynomial time, the problem $F({\cal L},\le,DB,t)$ can be solved with polynomial delay. On the other hand, in the general case, e.g. when ${\cal L}$ is the class of all graphs and $\le$ is the subgraph isomorphism relation, $F({\cal L},\le,DB,t)$ can not even be solved in output-polynomial time. Surprisingly, in some cases, such as for the class of graphs of bounded treewidth, the matching operator (subgraph isomorphism) is NP-hard while it is still possible to solve $F({\cal L},\le,DB,t)$ in incremental polynomial time. Because the number of frequent subgraph patterns may be huge in practice, several approaches have been considered to reduce the number of patterns without losing information. One way is to only consider closed patterns. Several notions of ``closed pattern'' have been considered. A subgraph pattern $P$ is frequency-closed if each of its supergraphs have a strictly smaller frequency. A subgraph pattern $P$ is embedding-closed if there does not exist a supergraph $C>P$ such that for each embedding $\varphi_P:P\to G$ of $P$ into a graph $G\in DB$, $\varphi_P$ can be extended into an embedding $\varphi_C\supseteq \varphi_P$ of $C$ into $G$. In this work, we study the complexity of mining frequent closed subgraph patterns, i.e. given a graph class ${\cal L}$, matching operator $\le$, database $DB$, treshold $t$ and notion of closed pattern $cl$, the problem $FC({\cal L},\le,DB,t,cl)$ is to list all $cl$-closed patterns which have frequency at least $t$ in $DB$. In particular, we show the following new results: i) if the matching operator $\le$ is NP-hard, then $FC({\cal L},\le,DB,t,cl)$ can not be solved in output-polynomial time. ii) if ${\cal L}$ is a monotone graph class and $\le$ can be decided in polynomial time, then $FC({\cal L},\le,DB,t,cl)$ can be solved with polynomial delay. iii) for trees, mining frequency-closed subtree patterns is not possible with polynomial delay (unless P=NP). We also provide upper bounds for the complexity of mining embedding-closed trees and graphs of bounded treewidth and degree. ispartof: Proceedings of the 8th French Conference on Combinatorics pages:1-1 ispartof: French Conference on Combinatorics location:Paris, France date:28 Jun - 2 Jul 2010 status: published

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