Code: 06884521

Insider Trading Sequential Pattern Mining (INTRASPAM)

Name: Insider Trading Sequential Pattern Mining (INTRASPAM)
Brand: LAP Lambert Academic Publishing
SKU: 06884521
Price: 49.90 EUR
Availability: BackOrder
Author: Luis Alvaro Barrientos
ISBN: 9783659266607

by Luis Alvaro Barrientos

Language: English
Binding: Paperback
Number of pages: 88
Publisher: LAP Lambert Academic Publishing, 2012
More about this

49.90 €

RRP: 51.97 €

You save 2.07 €

Print on demand
Shipping in 17 - 27 days

Add to wishlist

Crush
9.99 € -24 %
Buy
ETF Handbook 2e - How to Value and Trade Exchange Traded Funds
62.23 € -25 %
Buy
Stainless Steel Rat
13.73 € -19 %
Buy
Tribe of Millionaires: What if one choice could change everything?
18.28 € -7 %
Buy
Trading Classic Chart Patterns
83.54 € -25 %
Buy
The Bullet Swallower
28.48 € -25 %
Buy
Wife
20.20 € -24 %
Buy
The Dragon from Chicago: The Untold Story of an American Reporter in Nazi Germany
21.91 € -26 %
Buy
Pieces to Play - Book 3 with CD
8.78 € -22 %
Buy
Ukraine at the Crossroads
55.76 €
Buy
Bosambo of the River
14.94 € -6 %
Buy
After Socialism
141.43 €
Buy
Dracula Is Bleeding: Volume 2
9.79 € -6 %
Buy
Being Religious Interreligiously
31.21 € -18 %
Buy
Century of Premiers
106.17 € -4 %
Buy
An Epitome of Leading Conveyancing and Equity Cases
16.16 € -14 %
Buy
PowerShell Source Code: [WMISearcher]
14.03 € -6 %
Buy
Oriental Interpreter and Treasury of East India Knowledge
24.24 € -25 %
Buy
World of a Tiny Insect
118.50 €
Buy
Technological Change
74.75 €
Buy
Authenticity in and through Teaching in Higher Education
215.79 €
Buy

Give this book as a present today

Order book and choose Gift Order.
We will send you book gift voucher at once. You can give it out to anyone.
Book will be send to donee, nothing more to care about.

Book gift voucher sample Read more

More about Insider Trading Sequential Pattern Mining (INTRASPAM)

Book details
Synopsis
Trending among others

You get 121 loyalty points

Book synopsis

Insider trading filings are a source of publicly available information available to anyone by the United States Securities and Exchange Commission (SEC). The fact that financial markets allow people to profit from knowledge about events that affect a company, provokes an interest in the behavior of those agents and their trading movements. This work is aimed at discovering sequential associations within insider trading information stored at the United States SEC Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system.