Mine the Quasi Periodicity from Web Data

The quasi periodicity describes the repeated behavior of specific objects while allowing uneven stretch or shrink on time axis, limited noises, and inflation /deflation of attribute values. To discover quasi periodicity from Web data, this work proposes the method to collect information from web sites. and the concepts of attribute tendency, tendency inertia and peak valley chain, as well as the anti noise algorithm with inertia, and peak valley algorithm, The article gives a solution to the problem of small noise and uneven stretched time axis in mining of quasi periodicity. The testing on a group of earthquake data shows that the method is useful and efficient.