Understanding customer behaviour is crucial for business success. For achieving this goal, the Recency–Frequency–Monetary (RFM) model has been commonly recognised as an effective approach to analyse behaviour. However, traditional RFM a coarse method quantifying loyalty and contribution that can only provide single lump-sum value of recency (R), frequency (F), monetary (M); hence, it discards i...

Electrokinetic (EK) remediation is a promising technology for soil decontamination, although basic pH in the close to cathode has constrained EK effectiveness due heavy metal precipitation. This study aimed enhance copper removal from kaolinite by integrating with compost (C) as recyclable reactive filter media (RFM) first time. Compost placed near served an adsorbent bind ions while buffering ...

The high-precision geometric positioning of optical remote sensing satellites is the prerequisite to determine application capability satellite image products. Its accuracy related observation each link in imaging process, including attitude, orbit measurement accuracy, time synchronization camera and so on. Untimely inaccurate on-orbit calibration will lead great errors. To optimize images wit...

In this study, a new model of combining variables affecting the classification of customers is introduced which is based on a distribution system of goods and services. Given the problems that the RFM model has in various distribution systems, a new model for resolving these problems is presented. The core of this model is the older RFM. The new model that has been proposed as PRFM, consists of...

The introduction of data mining methods in the banking area due to the nature and sensitivity of bank data can already be considered of great assistance to banks as to prediction, forecasting and decision support. Concerning decision making, it is very important a bank to have the knowledge of (a) customer profitability and customers’ grouping according to this parameter and (b) association rul...

Sequential pattern mining is an extension of association rule mining that discovers time-related behaviors in sequence database. It extends association by adding time to the transactions. The problem of finding association rules concern with intratransaction patterns whereas that of sequential pattern mining concerns with inter-transaction patterns. Generalized Sequential Pattern (GSP) mining a...

Methyltransferases (MTases) form a major class of tRNA-modifying enzymes needed for the proper functioning of tRNA. Recently, RNA MTases from the TrmN/Trm14 family that are present in Archaea, Bacteria and Eukaryota have been shown to specifically modify tRNA(Phe) at guanosine 6 in the tRNA acceptor stem. Here, we report the first X-ray crystal structures of the tRNA m(2)G6 (N(2)-methylguanosin...