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P R E S E N T S ..
┌────-··-────────────────────────────────────────────────────────────┐
┌─ ─: Data Intelligence Add-In For Microsoft Excel V1.1 (C) AIComponents :─ ─┐
│ └─────────────────────────────────────────────────────-·· ·──────────┘ │
: │ :
. -/- [Supplier ]: TEAM RiSE : -/- [Release Date]: 2006/09/11 .
· -/- [Cracker ]: TEAM RiSE : -/- [# of Disks ]: 15 x 5.00MB ·
. -/- [Packager ]: TEAM RiSE : -/- [Protection ]: Serial .
: -/- [Requirements]: See Info : -/- [Utility Type]: Data Processing .
. -/- [Testers ]: TEAM RiSE : :
│ · [Special software requirements : │
└───:─────────────────────────────────────────-·· ·──────────────────────:───┘
┌ │ ┐ ┌ │ ┐
· - : - ·── ─ ─────────┐ · - : - ·
└ │ ┘ Release Info : └ │ ┘
· - : -── ─────────────┘ :
Overview
Spreadsheet programs must be one of the most versatile software tools ever
conceived. It is not surprising therefore that these tools are widely applied
and many of us are familiar with how these tools are used to interface to
data and perform a range of analyses. It was this universal familiarity with
spreadsheets that inspired AIComponents Data Intelligence Add-In for
Microsoft« Excel. We wanted to provide a software tool that encapsulated
some sophisticated learning algorithms with an easy to use interface
operating in an environment that many would be familiar with.
Microsoft« Excel is great for data exploration with its built in data
processing, charting capabilities and facility to write scripts.
By placing the Data Intelligence Add-In within Microsoft« Excel the user is
not concerned with learning a new environment for data querying, formatting
and pre-processing. Also, because the Data Intelligence Add-In writes model
predictions directly to a spreadsheet, further analysis of results is
facilitated through Microsoft« Excel with charting capabilities and built in
functions for sorting, filtering, string matching, etc.
The Data Intelligence Add-In provides the following æpublic domainÆ algorithms:
* Clustering using either K-means or EM mixture models. Mixture models can be
created using either diagonal or full covariance matrices.
* Decision Trees with the option to control tree complexity via a pruning
parameter. Multiple trees (one for each prediction class attribute)
can be created within a single model (single execution of training).
* Feedforward Neural Network using conjugate gradient search or gradient
descent. Attributes can be normalized or scaled.
* Association Rules with training parameters to specify minimum rule support,
lift, confidence, etc.
┌──────────────────────────────────── -──────────────────────────────┐
┌ │ ┐ ┌ │ ┐
· - : - · ┌────────── ──· - : - ·
└ │ ┘ : Install Notes └ │ ┘
┌───┘ └───────────── ──- : - ┐
1) Unzip, Unrar
2) Install using serials found in /RiSE dir
enjoy...
- RiSE
└───┐ ┌───┘
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. .
We are looking for crackers and suppliers.
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: NFO Header By: Flames -+- NFO Layout By: Strike Light :
. NFO Last updated on: 06.27.06 -+- NFO Last updated by: The Leaders .
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