Titlebook: Database and Expert Systems Applications; 24th International C Hendrik Decker,Lenka Lhotská,A Min Tjoa Conference proceedings 2013 Springer

朦胧

A Similarity-Based Approach for Financial Time Series Analysis and Forecastingcasting, however, it still is a hard endeavor to develop a general model that is able to handle the chaotic nature of the markets. Artificial intelligence methods such as artificial neural networks and support vector machines arose as promising alternatives, but they hide the processing semantics, l

Engaged

Inferring Knowledge from Concise Representations of Both Frequent and Rare Jaccard Itemsetsdicated for frequent correlated and for rare correlated patterns according to the . measure were presented. In this paper, we offer a new method of inferring new knowledge from the introduced concise representations. A new generic approach, called ., allowing the extraction of the sets of frequent c

curriculum

Comparison Queries for Uncertain Graphsdisease transmission probability associated with them, and social networks, where nodes may have an existence probability associated with them. Analysts need tools that support analysis and comparison of these uncertain graphs. To this end, we have developed a prototype SQL-like graph query language

Substance-Abuse

Efficient Time Aggregation and Querying of Flashed Streams in Constrained MotesE). The target sensor devices have low memory and computation capabilities, and high wireless data transmission costs. The SME represents data as streams, we discuss the approach and study how to optimize group-by aggregation over time-ordered data in that context, and to provide simple all-purpose

TATE

连锁,连串

Implementing Efficient Updates in Compressed Big Text Databasesthout prior decompression of the compressed text. We present a technique called DICIRT that supports fast insertion into and deletion from compressed texts without full decompression of the compressed text. For inserted fragments up to a size of 8% of the original text size, and for deleted fragment

猛击

MAPLE

体贴

verdict

A Similarity-Based Approach for Financial Time Series Analysis and Forecastingng classifier to predict a share’s behavior, thus improving the human analyst understanding and validation of the results. The analysis is defined through extended SQL instructions and executed over a fast and scalable engine, which makes our solution adequate to provide data analysis support for ne