Space Data

Remote Sensing and Water Resources (Space Sciences Series of ISSI) [Repost]  eBooks & eLearning

Posted by Free butterfly at Nov. 3, 2019
Remote Sensing and Water Resources (Space Sciences Series of ISSI) [Repost]

Remote Sensing and Water Resources (Space Sciences Series of ISSI) by A. Cazenave, N. Champollion, J. Benveniste
English | May 4, 2016 | ISBN: 3319324489 | 337 pages | PDF | 54 Mb

Parallel Space-Multi Accounts v3.1.6341 (Mod Ad Free)  Software

Posted by Orten at Nov. 6, 2016
Parallel Space-Multi Accounts v3.1.6341 (Mod Ad Free)

Parallel Space-Multi Accounts v3.1.6341 (Mod Ad Free) | 5.3 MB

Clone and run multi accounts of a same app simultaneously and apply custom themes to cloned apps! As one of the top-ranked tool on Android, Parallel Space helps more than 50 million users log in to their multi accounts at the same time on one device by cloning! It also protects user privacy by making apps invisible on device with the Incognito Installation feature. Moreover, users are able to customize their cloned apps in Parallel Space with themes to create their own stylish launcher. So far Parallel Space has supported 24 languages. Get Parallel Space now to manage your multi accounts on one device, protect privacy and create your customized space!

Data Mining in Finance: Advances in Relational and Hybrid Methods  eBooks & eLearning

Posted by AvaxGenius at June 13, 2025
Data Mining in Finance: Advances in Relational and Hybrid Methods

Data Mining in Finance: Advances in Relational and Hybrid Methods by Boris Kovalerchuk , Evgenii Vityaev
English | PDF (True) | 2000 | 323 Pages | ISBN : 0792378040 | 21.2 MB

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data.

Data Mining in Finance: Advances in Relational and Hybrid Methods  eBooks & eLearning

Posted by AvaxGenius at June 13, 2025
Data Mining in Finance: Advances in Relational and Hybrid Methods

Data Mining in Finance: Advances in Relational and Hybrid Methods by Boris Kovalerchuk , Evgenii Vityaev
English | PDF (True) | 2000 | 323 Pages | ISBN : 0792378040 | 21.2 MB

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data.

Data Mining in Finance: Advances in Relational and Hybrid Methods [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Sept. 8, 2013
Data Mining in Finance: Advances in Relational and Hybrid Methods [Repost]

Boris Kovalerchuk, ‎Evgenii Vityaev - Data Mining in Finance: Advances in Relational and Hybrid Methods
Published: 2000-03-01 | ISBN: 0792378040 | PDF | 328 pages | 21 MB

Data Mining in Finance: Advances in Relational and Hybrid Methods  eBooks & eLearning

Posted by insetes at Feb. 21, 2019
Data Mining in Finance: Advances in Relational and Hybrid Methods

Data Mining in Finance: Advances in Relational and Hybrid Methods By Boris Kovalerchuk, Evgenii Vityaev (auth.)
2002 | 308 Pages | ISBN: 0792378040 | PDF | 21 MB

Disk Space Inspector ver3.40  Software

Posted by useros at April 19, 2006
Disk Space Inspector ver3.40

Disk Space Inspector ver3.40


This hard disk analysis, file management and disk space reporting software. It allows you to view disk space usage by NTFS owner on a selected volume or directory. You can also view disk space usage by shared folder or quantity of objects. The program allows you to search folders and files by size or NTFS owners, and you can export file system data to a text file.
Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences

Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences by National Research Council
English | 1991 | ISBN: 0309045363, 9780309045360 | 88 Pages | PDF | 651.53 KB

Data Analytics For Direct Marketing Campaigns  eBooks & eLearning

Posted by ELK1nG at Oct. 3, 2023
Data Analytics For Direct Marketing Campaigns

Data Analytics For Direct Marketing Campaigns
Published 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.84 GB | Duration: 1h 42m

Learn to Measure Direct Marketing Success with Statistical Methods in this Course

Advanced Free Space Optics (FSO): A Systems Approach  eBooks & eLearning

Posted by interes at Oct. 9, 2019
Advanced Free Space Optics (FSO): A Systems Approach

Advanced Free Space Optics (FSO): A Systems Approach by Arun K. Majumdar
English | 2014 | ISBN: 1493909177, 1493952749 | 397 pages | PDF | 12,8 MB