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EUSFLAT
2009
233views Fuzzy Logic» more  EUSFLAT 2009»
9 years 8 months ago
SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining
This paper presents SaM, a split and merge algorithm for frequent item set mining. Its distinguishing qualities are an exceptionally simple algorithm and data structure, which not ...
Christian Borgelt, Xiaomeng Wang
EMNLP
2009
9 years 8 months ago
Chinese Novelty Mining
Automated mining of novel documents or sentences from chronologically ordered documents or sentences is an open challenge in text mining. In this paper, we describe the preprocess...
Yi Zhang, Flora S. Tsai
EDM
2009
184views Data Mining» more  EDM 2009»
9 years 8 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
DMIN
2009
121views Data Mining» more  DMIN 2009»
9 years 8 months ago
Data Mining in the Real World: Experiences, Challenges, and Recommendations
Abstract - Data mining is used regularly in a variety of industries and is continuing to gain in both popularity and acceptance. However, applying data mining methods to complex re...
Gary M. Weiss
DMIN
2009
180views Data Mining» more  DMIN 2009»
9 years 8 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
CIKM
2009
Springer
9 years 8 months ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
WEBI
2010
Springer
9 years 8 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
PKDD
2010
Springer
127views Data Mining» more  PKDD 2010»
9 years 8 months ago
Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
Defect localisation is essential in software engineering and is an important task in domain-specific data mining. Existing techniques building on call-graph mining can localise dif...
Frank Eichinger, Klaus Krogmann, Roland Klug, Klem...
IKE
2010
9 years 8 months ago
Potential Application of Contextual Information Processing To Data Mining
Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the pr...
Gregory Vert, Anitha Chennamaneni, S. Sitharama Iy...
IGARSS
2010
9 years 8 months ago
Designing an Illegal Mining Detection System based on DinSAR
Satellite Differential Radar Interferometry (DInSAR) has demonstrated its ability for monitoring mine-induced ground subsidence. However, it is still a challenging task to routine...
Zhe Hu, Linlin Ge, Xiaojing Li, Chris Rizos
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