http://sindhiiat.blogspot.com/2012/04/geo-news-rtsppull.html

Windows Mobile 6.5 Is Better on HTC Phones

Redmond-based software giant Microsoft released the latest flavor of its mobile operating system, namely Windows Mobile 6.5, at the beginning of October. The platform in itself has seen a fair amount of bad reviews, yet it seems that the iteration should be seen only as a minor update to the platform, with a major update expected to arrive sometime in late 2010 in the form of Windows Mobile 7.



While Windows Mobile 6.5 might not impress users as much as Microsoft would have wanted it to, it seems that mobile phone makers that deliver to the market smartphones based on the platform are able to offer an enhanced experience to their users. HTC Corporation, the largest provider of Windows Mobile-based devices, is one of them and its recently launched HTC HD2 handset seems to come with less issues than Windows Mobile 6.5 was said to come in the first place.

According to a recent article on Zdnet, the HD2 addresses some of the so-called “problems” of the Windows Mobile 6.5 operating system, thus being able to leverage the experience one has with the platform. The one thing that should be mentioned here is that HTC already announced that its HTC Sense navigation solution, which was originally launched on the Android-based HTC Hero, is also present with the phone and this might be the main reason for which the Microsoft mobile client looks and feels better.

The said piece shows that the Home/Today screen, the capacitive touch screen of the HTC HD2, the Windows Media Player, Photos & Video application and the Web browser are some of the aspects that make users be attracted to the Windows Mobile 6.5 platform and to the HD2 device. All this seems to be possible courtesy of HTC and its work on leveraging the OS' capabilities, something that one might have already expected when the Taiwanese maker announced the launch of its YOU campaign.

IDM portable

download portable IDM here


http://rapidshare.com/files/307449068/Portable_IDM.v5.18.Build.3.rar

Intelligent Agents for Data Mining and Information Retrieval

There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and information retrieval. Intelligent Agents are currently used to improve the search and retrieval information on World Wide Web. The use of existing search and retrieval engines with the addition of intelligent agents allows a more comprehensive search with a performance that can be measured. Intelligent Agents for Mining and Information Retrieval discusses the foundation as well as the pratical side of intelligent agents and their theory and applications for web data mining and information retrieval. The book can used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-art for cutting edge researchers. 

 

http://rapidshare.com/files/310328543/Intelligent_Agents_for_Data_Mining_and_Information_Retrieval.rar

Data Mining Patterns: New Methods and Applications

"This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher. 

http://rapidshare.com/files/310336930/Data_Mining_Patterns_New_Methods_and_Applications.pdf 

Advanced Data Mining Techniques

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relative advantages are evaluated.


http://rapidshare.com/files/310336931/Advanced_Data_Mining_Techniques.pdf

Data Mining: A Heuristic Approach

Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.

 http://rapidshare.com/files/310336933/Idea_Group_-_Data_Mining._A_Heuristic_Approach.pdf