Get Constraint-Based Mining and Inductive Databases: European PDF

By Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila

ISBN-10: 3540313311

ISBN-13: 9783540313311

The interconnected rules of inductive databases and constraint-based mining are attractive and feature the aptitude to transform the speculation and perform of knowledge mining and information discovery. This publication reviews at the result of the eu IST undertaking "cInQ" (consortium on wisdom discovery by means of Inductive Queries) and its ultimate workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.

The 18 articles during this state of the art survey current the newest ends up in inductive querying and constraint-based information mining and likewise establish destiny instructions of this newly rising box mendacity on the intersection of knowledge mining and database learn. The papers tackle topical sections on foundations of inductive database frameworks, optimizing inductive queries on neighborhood styles, optimizing inductive queries on international styles, and purposes of inductive querying suggestions.

Show description

Read or Download Constraint-Based Mining and Inductive Databases: European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March PDF

Best structured design books

Download e-book for iPad: MCTS Self-Paced Training Kit (Exam 70-528): Microsoft .Net by Glenn Johnson

Asserting an all-new Microsoft qualified know-how professional (MCTS) education package designed to assist maximize your functionality on examination 70-528, an examination for the recent MCTS: . internet Framework 2. zero net purposes certification. This equipment packs the instruments and lines examination applicants wish most-including in-depth, self-paced education in keeping with ultimate examination content material; rigorous, objective-by-objective overview; examination information from professional, exam-certified authors; and a strong trying out suite.

R-Trees: Theory and Applications (Advanced Information and - download pdf or read online

Area help in databases poses new demanding situations in every thing of a database administration method & the aptitude of spatial aid within the actual layer is taken into account vitally important. This has resulted in the layout of spatial entry the way to let the powerful & effective administration of spatial gadgets.

Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín,'s From Animals to Animats 13: 13th International Conference on PDF

This ebook constitutes the lawsuits of the thirteenth overseas convention on Simulation of Adaptive habit, SAB 2014, held in Castellón, Spain, in July 2014. The 32 papers awarded during this quantity have been rigorously reviewed and chosen for inclusion within the lawsuits. They conceal the most parts in animat study, together with the animat strategy and technique, conception and motor regulate, navigation and inner international versions, studying and variation, evolution and collective and social habit.

Download e-book for iPad: Data Structure and Algorithmic Thinking with Python Data by Narasimha Karumanchi

The pattern bankruptcy may still provide you with an outstanding suggestion of the standard and magnificence of our publication. specifically, make sure to are pleased with the extent and with our Python coding sort. This publication specializes in giving strategies for advanced difficulties in facts constructions and set of rules. It even presents a number of recommendations for a unmarried challenge, hence familiarizing readers with diverse attainable methods to an identical challenge.

Additional info for Constraint-Based Mining and Inductive Databases: European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March

Example text

In [48, 49], two FP-growth based algorithms are introduced: F IC A to mine Th(Cfreq ) ∩ Th(CCAM ), and F IC M to mine Th(Cfreq )∩Th(CCM ). A major limitation of any FP-growth based algorithm is that the initial database (internally compressed in the prefix-tree structure) and all intermediate projected databases must fit into main memory. If this requirement cannot be met, these approaches can simply not be applied anymore. This problem is even harder with F IC A and F IC M : in fact, using an order on items different from the frequency-based one, makes the prefixtree lose its compressing power.

Algorithm 3 Constraint-based Frequent Pattern Mining Input: D, σ, C Output: Th(Cfreq [D,σ] ) ∩ Th(C) 1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: L1 ← I C1 ← {{i} | i ∈ I ∧ CAMS ({i}) ∧ CAM ({i})} D1 ← πC1 (D) L1 , D1 ← count f irst iteration(D1 , σ, C1 , CM , CMS ) while L1 = C1 do C1 ← L1 ; L1 , D1 ← count f irst iteration(D1 , σ, C1 , CM , CMS ) C2 ← generate(L1 , CAM , CMS ) forall i ∈ L1 do V1 [i] ← 0 k←2 while Ck = ∅ do Lk , Dk+1 , Vk ← count&reduce(Dk , σ, CM , CMS , CLAM , Ck , Vk−1 ) Ck+1 ← generate(Lk , CAM , CMS ) k++ for(i = 0; i ≤ k; i + +) do forall X ∈ Li do if CM (X) ∧ CMS (X) ∧ CLAM (X) then return X Let us briefly describe the pseudo-code in Algorithm 3.

The idea is to generalize ExAnte’s α-reduction from singletons level to the generic level k. This generalization results in the following set of data reduc- 28 F. Bonchi, F. Giannotti, and D. Pedreschi tion techniques, which are based on the anti-monotonicity of Cfreq (see [6] for the proof of correctness). Gk (i): an item which is not subset of at least k frequent k-itemsets can be pruned away from all transactions in D. Tk (t): a transaction which is not superset of at least k + 1 frequent k-itemsets can be removed from D.

Download PDF sample

Constraint-Based Mining and Inductive Databases: European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March by Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila


by Kevin
4.1

Rated 4.18 of 5 – based on 15 votes