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Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment
This study presents the correlational paraconsistent machine (CPM), a tool for anomaly detection that incorporates unsupervised models for traffic characterization and principles of paraconsistency, to inspect irregularities at the network traffic flow level.
HUD Investigation
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Database and Expert Systems Applications
This two volume set of LNCS 11029 and LNCS 11030 constitutes the refereed proceedings of the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018. The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics; data integrity and privacy; decision support systems; data semantics; cloud data processing; time series data; social networks; temporal and spatial databases; and graph data and road networks. The papers of the second volume discuss a range of the following topics: Information retrieval; uncertain information; data warehouses and recommender systems; data streams; information networks and algorithms; database system architecture and performance; novel database solutions; graph querying and databases; learning; emerging applications; data mining; privacy; and text processing.
Lloyd’s Register of Yachts 1927
The Lloyd’s Register of Yachts was first issued in 1878, and was issued annually until 1980, except during the years 1916-18 and 1940-46. Two supplements containing additions and corrections were also issued annually. The Register contains the names, details and characters of Yachts classed by the Society, together with the particulars of other Yachts which are considered to be of interest, illustrates plates of the Flags of Yacht and Sailing Clubs, together with a List of Club Officers, an illustrated List of the Distinguishing Flags of Yachtsmen, a List of the Names and Addresses of Yacht Owners, and much other information. For more information on the Lloyd’s Register of Yachts, please click here: https://hec.lrfoundation.org.uk/archive-library/lloyds-register-of-yachts-online
Webvision
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Catalog
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Lloyd’s Register of Yachts 1924
The Lloyd’s Register of Yachts was first issued in 1878, and was issued annually until 1980, except during the years 1916-18 and 1940-46. Two supplements containing additions and corrections were also issued annually. The Register contains the names, details and characters of Yachts classed by the Society, together with the particulars of other Yachts which are considered to be of interest, illustrates plates of the Flags of Yacht and Sailing Clubs, together with a List of Club Officers, an illustrated List of the Distinguishing Flags of Yachtsmen, a List of the Names and Addresses of Yacht Owners, and much other information. For more information on the Lloyd’s Register of Yachts, please click here: https://hec.lrfoundation.org.uk/archive-library/lloyds-register-of-yachts-online
Database and Expert Systems Applications
This two volume set of LNCS 11029 and LNCS 11030 constitutes the refereed proceedings of the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018. The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics; data integrity and privacy; decision support systems; data semantics; cloud data processing; time series data; social networks; temporal and spatial databases; and graph data and road networks. The papers of the second volume discuss a range of the following topics: Information retrieval; uncertain information; data warehouses and recommender systems; data streams; information networks and algorithms; database system architecture and performance; novel database solutions; graph querying and databases; learning; emerging applications;data mining; privacy; and text processing.
Classification, Clustering, and Data Mining Applications
Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
