Blar i NTNU Open på forfatter "Fournier-Viger, Philippe"

Viser treff 1-7 av 7

    • A (k, p)-anonymity Framework to Sanitize Transactional Database with Personalized Sensitivity 

      Zhang, Binbin; Lin, Chun Wei; Liu, Qiankun; Fournier-Viger, Philippe; Djenouri, Youcef (Journal article; Peer reviewed, 2019)
      In recent years, analyzing transactional data has become an important data analytic task since it can discover important information in several domains, for recommendation, prediction, and personalization. Nonetheless, ...

    • A Sanitization Approach to Secure Shared Data in an IoT Environment 

      Lin, Chun Wei; Wu, Jimmy Ming-Tai; Fournier-Viger, Philippe; Djenouri, Youcef; Chen, Chun-Hao; Zhang, Yuyu (Journal article; Peer reviewed, 2019)
      Internet of Things (IoT) supports high flexibility and convenience in several applications because the IoT devices continuously transfer, share, and exchange data without human intervention. During shared or exchanged ...

    • An efficient algorithm for mining top-k on-shelf high utility itemsets 

      Dam, Thu-Lan; Li, Kenli; Fournier-Viger, Philippe; Duong, Quang-Huy (Journal article; Peer reviewed, 2017)
      High on-shelf utility itemset (HOU) mining is an emerging data mining task which consists of discovering sets of items generating a high profit in transaction databases. The task of HOU mining is more difficult than ...

    • CLS-Miner: efficient and effective closed high-utility itemset mining 

      Dam, Thu-Lan; Li, Kenli; Fournier-Viger, Philippe; Duong, Quang-Huy (Journal article; Peer reviewed, 2018)
      High-utility itemset mining (HUIM) is a popular data mining task with applications in numerous domains. However, traditional HUIM algorithms often produce a very large set of high-utility itemsets (HUIs). As a result, ...

    • Discovering Periodic Itemsets using Novel Periodicity Measures 

      Fournier-Viger, Philippe; Yang, Peng; Lin, Chun Wei; Duong, Quang-Huy; Dam, Thu-Lan; Frnda, Jaroslav; Sevcik, Lukas; Voznak, Miroslav (Journal article; Peer reviewed, 2019)
      Numerous methods can identify patterns exhibiting a periodic behavior. Nonetheless, a problem of these traditional approaches is that the concept of periodic behavior is defined very strictly. Indeed, a pattern is considered ...

    • High Utility Drift Detection in Quantitative Data Streams 

      Duong, Quang-Huy; Ramampiaro, Heri; Nørvåg, Kjetil; Fournier-Viger, Philippe; Dam, Thu-Lan (Journal article; Peer reviewed, 2018)
      This paper presents an efficient algorithm for detecting changes (drifts) in the utility distributions of patterns, named High Utility Drift Detection in Transactional Data Stream (HUDD-TDS). The algorithm is specifically ...

    • The density-based clustering method for privacy-preserving data mining 

      Wu, Jimmy Ming-Tai; Lin, Chun Wei; Fournier-Viger, Philippe; Djenouri, Youcef; Chen, Chun-Hao; Li, Zhongcui (Journal article; Peer reviewed, 2019)
      Privacy-preserving data mining has become an interesting and emerging issue in recent years since it can, not only hide the sensitive information but still mine the meaningful knowledge at the same time. Since privacy-preserving ...