Titlebook: Developing Multi-Database Mining Applications; Animesh Adhikari,Pralhad Ramachandrarao,Witold Ped Book 2010 Springer-Verlag London 2010 Cl

Cleave

Mining Multiple Large Databases,i-database mining techniques. Experimental results are provided and they are reported for both real-world and synthetic databases. They help us assess the effectiveness of the pipelined feedback model.

Monotonous

反对

tangle

吝啬性

Introduction, present three fundamental approaches to mining multiple large databases. We also elaborate on the recent developments that are taken place in this area. We provide a roadmap on how to develop an effective multi-database mining application and conclude the chapter by identifying some future research directions.

Abjure

Mining Patterns of Select Items in Multiple Databases,tiple databases. Each group contains a select item called the . and the group grows while being centered around the nucleus item. Experimental results are concerned with some synthetic and real-world databases.

沉着

A Framework for Developing Effective Multi-database Mining Applications,The efficiency of a multi-database mining application can be enhanced by choosing an appropriate multi-database mining model, a suitable pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem.

CHECK

Jun Deng,Liang Du,Yi-Dong Shenojekte einer Erprobung eines Grundeinkommens in Deutschland eingeordnet. The topic of basic income has gained popularity and media attention not only in Germany with the outbreak of the Covid 19 pandemic and has brought social problems to light more clearly. For a limited period of time, a low-condi

损坏

Marilyn Lewisonmental, economic and societal dynamics of the Arctic, balancing national interests and common interests to achieve sustainability of the high north for the benefit of all across generations in our globally-interconnected civilization.           978-3-030-06262-0Series ISSN 2510-0475 Series E-ISSN 2510-0483

可转变