• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 39 matches

• 2005
• 
  Yao Li, Zhitang Li, Hao Tu:
  Dynamic immune intrusion detection system for IPv6. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 374-
• 
  Sheila B. Banks, Martin R. Stytz:
  A taxonomy and discussion of software attack technologies. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 92-101
• 
  Abdelghani Bellaachia, Rajat Bhatt:
  An enhanced stream mining approach for network anomaly detection. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 342-351
• 
  David P. Benjamin, Ranjita Shankar-Iyer, Archana Perumal:
  VMSoar: a cognitive agent for network security. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 72-80
• 
  David P. Benjamin, Adrian Walker:
  Semantic encoding of relational databases in wireless networks. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 255-262
• 
  Dongming Cai, James Theiler, Maya B. Gokhale:
  Detecting a malicious executable without prior knowledge of its patterns. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 1-12
• 
  Raymond A. Cardillo, John J. Salerno:
  The pearls of using real-world evidence to discover social groups. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 309-320
• 
  Deyun Chen, Shujun Pei, Zhiying Quan:
  Knowledge base system visualization reasoning model based on ICON. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 352-355
• 
  Dipankar Dasgupta, José M. Rodríguez, Sankalp Balachandran:
  Efficient visualization of security events in a large agent society. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 102-113
• 
  Yaping Deng, Wei Zhang:
  A new method for MPLS-based recovery. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 364-373
• 
  Rodolfo A. Fiorini, Gianfranco Dacquino:
  Improved object optimal synthetic description, modeling, learning, and discrimination by GEOGINE computational kernel. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 214-225
• 
  Yongjun Hai, Yu Wu, Guoyin Wang:
  An improved unsupervised clustering-based intrusion detection method. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 52-60
• 
  Shoji Hirano, Shusaku Tsumoto:
  Classification of temporal sequences using multiscale matching and rough clustering. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 202-213
• 
  Holger Jaenisch, James W. Handley, Jeffrey P. Faucheux, Ken Lamkin:
  Shai-Hulud: The quest for worm sign. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 321-329
• 
  Rashid Hafeez Khokhar, Mohd. Noor Md. Sap:
  Predictive fuzzy reasoning method for time series stock market data mining. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 243-254
• 
  Walker H. Land Jr., Mark J. Embrechts, Frances R. Anderson, Tom Smith, Lut Wong, Stephen Fahlbusch, Robert Choma:
  Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 226-231
• 
  Ching-Cheng Lee, Rashmi Prabhakara:
  Web image retrieval using an effective topic and content-based technique. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 303-308
• 
  Danzhou Liu, Charles E. Hughes:
  Deducing behaviors from primitive movement attributes. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 180-189
• 
  Yu Liu, Hong Man:
  Network vulnerability assessment using Bayesian networks. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 61-71
• 
  Robert S. Lynch Jr., Peter K. Willett:
  Utilizing unsupervised learning to cluster data in the Bayesian data reduction algorithm. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 158-167
• 
  Vladimir Nikulin, Alexander J. Smola:
  Parametric model-based clustering. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 190-201
• 
  Tansel Özyer, Reda Alhajj, Ken Barker:
  Intrusion detection: a novel approach that combines boosting genetic fuzzy classifier and data mining techniques. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 13-22
• 
  Chandra Pandey:
  Deducing trapdoor primitives in public key encryption schemes. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 81-91
• 
  Peili Qiao, Jie Su, Chengwei Sun:
  Distributed intrusion detection system based on ARTIS. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 356-363
• 
  John J. Salerno, Raymond A. Cardillo, Zhongfei (Mark) Zhang:
  Comparing various algorithms for discovering social groups with uni-party data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 168-179
• 
  James F. Smith III, ThanhVu H. Nguyen:
  Data-mining-based automated reverse engineering and defect discovery. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 232-242
• 
  Martin R. Stytz, Sheila B. Banks:
  Toward improved software security training using a cyber warfare opposing force (CW OPFOR): the knowledge base design. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 130-141
• 
  Moises Sudit, Adam Stotz, Michael Holender:
  Situational awareness of a coordinated cyber attack. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 114-129
• 
  Shusaku Tsumoto:
  Granularity and statistical independence in a contingency table. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 330-341
• 
  Shusaku Tsumoto, Shoji Hirano:
  On statistical independence of a contingency matrix. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 291-302

skipping 9 more matches