23 papers:
- KDD-2015-GionisT #tutorial
- Dense Subgraph Discovery: KDD 2015 tutorial (AG, CET), pp. 2313–2314.
- KDD-2015-SpiliopoulouRR #mining #tutorial
- Medical Mining: KDD 2015 Tutorial (MS, PPR, EMR), p. 2325.
- KDD-2014-BordesG #graph #mining #tutorial
- Constructing and mining web-scale knowledge graphs: KDD 2014 tutorial (AB, EG), p. 1967.
- CASE-2012-CunhaBC #behaviour #industrial
- Discovery of behavior in industrial plants: A KDD based proposal (MJdC, VLB, GAdPC), pp. 986–991.
- KDIR-2011-RomeiT #process #programming #using #xquery
- Programming the KDD Process using XQuery (AR, FT), pp. 131–139.
- KDIR-2009-GhemtioSDSM #approach #design
- A KDD Approach for Designing Filtering Strategies to Improve Virtual Screening (LG, MST, MDD, MS, BM), pp. 146–151.
- ICEIS-AIDSS-2007-Cuzzocrea #multi
- MRE-KDD+: A Multi-Resolution, Ensemble-Based Model for Advanced Knolwedge Discovery (AC), pp. 152–158.
- ICEIS-v2-2004-PachonVRST #industrial #process
- Practical Application of KDD Techniques to an Industrial Process (VP, JMV, FR, JCRS, JMT), pp. 309–314.
- KDD-2004-Haseltine #design
- User-centered design for KDD (EH), p. 1.
- SEKE-2004-HessI #ontology #preprocessor
- Applying Ontologies in the KDD Pre-Processing Phase (GNH, CI), pp. 366–371.
- ICEIS-v2-2003-GhediniB #approach
- A Process-Centered Approach for Kdd Application Management (CG, KB), pp. 238–243.
- KDD-2002-HoNN #process #visualisation
- Visualization support for a user-centered KDD process (TBH, TDN, DN), pp. 519–524.
- SAC-2002-Geist #data mining #framework #mining
- A framework for data mining and KDD (IG), pp. 508–513.
- KDD-2001-HotzGHNW #analysis #detection #industrial
- REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry (EH, UG, WH, GN, MW), pp. 432–437.
- KDD-T-2001-KarguptaJ #data mining #distributed #mining #mobile #ubiquitous
- Data mining “to go”: ubiquitous KDD for mobile and distributed environments (HK, AJ), pp. 186–263.
- ICEIS-2000-RodriguesRH #how #process
- How to Make KDD Process More Accessible to Users (MdFR, CR, PRH), pp. 209–216.
- KDD-1999-CortesP #agile #deployment #framework #mining
- Information Mining Platforms: An Infrastructure for KDD Rapid Deployment (CC, DP), pp. 327–331.
- KDD-1999-KaudererNAJ #optimisation
- Optimization of Collection Efforts in Automobile Financing — a KDD Supported Environment (HK, GN, FA, HJ), pp. 414–416.
- KDD-1998-CarlisSK
- Blurring the Distinction between Command and Data in Scientific KDD (JVC, ES, SK), pp. 154–158.
- KDD-1998-DomshlakGGLMRS #flexibility #framework #named #research
- FlexiMine — A Flexible Platform for KDD Research and Application Construction (CD, DG, EG, NL, AM, TR, SES), pp. 184–188.
- KDD-1997-Huber #scalability #statistics
- From Large to Huge: A Statistician’s Reactions to KDD & DM (PJH), pp. 304–308.
- KDD-1997-ZhongLKO #process
- KDD Process Planning (NZ, CL, YK, SO), pp. 291–294.
- KDD-1996-FayyadHS #data analysis
- KDD for Science Data Analysis: Issues and Examples (UMF, DH, PES), pp. 50–56.