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[object Object],Knowledge discovery in large text data bases using the MST algorithm   Doctor  V. Romanov, student E. Pantileeva Plekhanov   Russian Academy of Economics Data Mining 2005 25 – 27  May 2005 Skiathos
DISCOVERING THE HIDDEN PROBLEM SITUATION STUCTURE FROM DOCUMENTS SET Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva ,[object Object],[object Object],[object Object],[object Object],Manager  (problem situation) Document collection M aximum Spanning Tree Attributes Names and Values table
Information system ,  supporting decision making ,  with embedded adaptation function Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva User (problem situation) KNOWLEDGE BASE Documents text processing & loading OUTPUT DATA FOR QUERIES PROCESSED METADATA: THESAURUS THEMATIC   C L ASSIFIER SUBJECT CLASSIFIERS NAVIGATOR TEXT DATA BASE Queries processing DATA BASE  RECORDS STATSTICAL DATA ONE TERM FREQUENCIES COUNTING & NORMALISATI O N ATTRIBUTES NAMES & VALUES DETECTION TWO TERMS FREQUENCIES COUNTING & COVARI A NCE MATRIX FORMATION MAXIMUM SPANNING TREE  DEVELOPMENT & EXPLICATION AS NAVIGATOR FORMAL CONTEXT TABLE FORMING @ FILLING FORMAL CONCEPTS& RULES DISCOVERING
Three Steps of MST Construction Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva TWO TERMS FREQUENCIES COUNTING & COVARI A NCE MATRIX FORMATION M aximum Spanning Tree ONE TERM FREQUENCIES COUNTING & NORMALISATI O N MAXIMUM SPANNING TREE  DEVELOPMENT
The Construction of Maximum Spanning Tree Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva The Term Connectedness Graphs   The Pairs of Terms Frequencies Matrix
Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva The Construction of Maximum Spanning Tree Maximum Spanning Tree Maximum Spanning Tree Matrix
Dynamic picture is formed as maximum spanning tree for graph,  is representing covariance matrix for word/lemmas or concepts pairs. MST serves as dynamically changing thesaurus or semantic net for query navigation. Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva
Above the each word there is a sign one of two kinds: leaf or branch. The word designated by the leaf sign has not any connections down   the tree. The words designed by branch sign permit further navigation along the route. Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva The user begins retrieval session with browsing  dictionary with word frequencies and choosing the word to be included in the query.
An example of MST for thematic class “Production reconstruction”   Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva
THE SEMANTIC OF PROBLEM SITUATION-1 ,[object Object],[object Object]
THE SEMANTIC OF PROBLEM SITUATION-2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THE SEMANTIC OF PROBLEM SITUATION-3 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CONTEXT FORMING FOR THE PROBLEM  SITUATION ,[object Object],[object Object],Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva ,[object Object],Documents table Context
STAGES OF DB SCHEMA EXTRACTION FROM SET  OF TEXTS Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva Formal Concept  Analysis Context Concepts The problem situation data base schema
The problem  situation description  in data base Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva Document Tokenization - Morphological anlaysis Semantical analysis Syntactical analysis User interface forms for data entering Data base records Data base loading
C1:=( main   management   board) Concepts of the situation “Reconstruction” f1:=main management board,  f2:=building,  f3:=cold rolling shop,  f4:=reconstruction,  f5:=blast furnace   Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva O 5 O 4 O 3 O 2 O 1 f5 f4 f3 f2 f1 С ontext    O 5    O 4    O 3 O 2 O 1 C 2 f5 f4 f3 f2 f1 C2:= ( main management   board, reconstruction ,  blast furnace )     O 5 O 4 O 3 O 2 O 1 C 5 f5 f4 f3 f2 f1 C5:=( main   management   board,   cold rolling shop, reconstruction ,  blast furnace )     O 5 O 4 O 3   O 2   O 1 C 3 f5 f4 f3 f2 f1 C3:=( main management   board,   cold rolling shop) O 5     O 4 O 3 O 2 O 1 C 6 f5 f4 f3 f2 f1 C6:=( main management   board,   building, reconstruction ,  blast furnace )  O 5  O 4  O 3  O 2  O 1 C 1 f5 f4 f3 f2 f1 O 5 O 4 O 3    O 2    O 1 C 4 f5 f4 f3 f2 f1 C4:=( main management   board,   building,   cold rolling shop) O 5 × × O 4 O 3 × × O 2 × × O 1 C 7 f5 f4 f3 f2 f1 C7:=( main   management   board,   building)
The Hasse diagram of concept lattice  Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva C 1 C 4 C 3 C 2 C1:=( main   management   board) C2:= ( main management   board, reconstruction ,  blast furnace ) C3:=( main management   board,   cold rolling shop) C4:=( main management   board,   building,   cold rolling shop) C5:=( main   management   board,   cold rolling shop, reconstruction ,  blast furnace )   C7:=( main   management   board,   building) C6:=( main management   board,   building, reconstruction ,  blast furnace ) C 6 C 5 C 7
Digest of situation Plekhanov Russian Academy of Economics D octor  V. Romanov, student E. Pantileeva User  (problem situation ) Document collection Official structure   Object name   Actions   Region   Action’s effect   Time   Main Management board   Blast furnace   reconstruction Lipetsk city   Scrap metal utilization melioration   IV quarters  of xxx-year Main  Management board   Cold rolling shop building Magnitogorsk city Steel production increment  I half  xxx-year Mounting &building department Blast furnace Putting into operation Lipetsk city Equipment mounted II  quarters of xxx-year

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Knowledge discovery in Great Textual Data Bases

  • 1.
  • 2.
  • 3. Information system , supporting decision making , with embedded adaptation function Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva User (problem situation) KNOWLEDGE BASE Documents text processing & loading OUTPUT DATA FOR QUERIES PROCESSED METADATA: THESAURUS THEMATIC C L ASSIFIER SUBJECT CLASSIFIERS NAVIGATOR TEXT DATA BASE Queries processing DATA BASE RECORDS STATSTICAL DATA ONE TERM FREQUENCIES COUNTING & NORMALISATI O N ATTRIBUTES NAMES & VALUES DETECTION TWO TERMS FREQUENCIES COUNTING & COVARI A NCE MATRIX FORMATION MAXIMUM SPANNING TREE DEVELOPMENT & EXPLICATION AS NAVIGATOR FORMAL CONTEXT TABLE FORMING @ FILLING FORMAL CONCEPTS& RULES DISCOVERING
  • 4. Three Steps of MST Construction Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva TWO TERMS FREQUENCIES COUNTING & COVARI A NCE MATRIX FORMATION M aximum Spanning Tree ONE TERM FREQUENCIES COUNTING & NORMALISATI O N MAXIMUM SPANNING TREE DEVELOPMENT
  • 5. The Construction of Maximum Spanning Tree Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva The Term Connectedness Graphs The Pairs of Terms Frequencies Matrix
  • 6. Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva The Construction of Maximum Spanning Tree Maximum Spanning Tree Maximum Spanning Tree Matrix
  • 7. Dynamic picture is formed as maximum spanning tree for graph, is representing covariance matrix for word/lemmas or concepts pairs. MST serves as dynamically changing thesaurus or semantic net for query navigation. Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva
  • 8. Above the each word there is a sign one of two kinds: leaf or branch. The word designated by the leaf sign has not any connections down the tree. The words designed by branch sign permit further navigation along the route. Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva The user begins retrieval session with browsing dictionary with word frequencies and choosing the word to be included in the query.
  • 9. An example of MST for thematic class “Production reconstruction” Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. STAGES OF DB SCHEMA EXTRACTION FROM SET OF TEXTS Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva Formal Concept Analysis Context Concepts The problem situation data base schema
  • 15. The problem situation description in data base Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva Document Tokenization - Morphological anlaysis Semantical analysis Syntactical analysis User interface forms for data entering Data base records Data base loading
  • 16. C1:=( main management board) Concepts of the situation “Reconstruction” f1:=main management board, f2:=building, f3:=cold rolling shop, f4:=reconstruction, f5:=blast furnace Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva O 5 O 4 O 3 O 2 O 1 f5 f4 f3 f2 f1 С ontext    O 5    O 4    O 3 O 2 O 1 C 2 f5 f4 f3 f2 f1 C2:= ( main management board, reconstruction , blast furnace )     O 5 O 4 O 3 O 2 O 1 C 5 f5 f4 f3 f2 f1 C5:=( main management board, cold rolling shop, reconstruction , blast furnace )   O 5 O 4 O 3   O 2   O 1 C 3 f5 f4 f3 f2 f1 C3:=( main management board, cold rolling shop) O 5     O 4 O 3 O 2 O 1 C 6 f5 f4 f3 f2 f1 C6:=( main management board, building, reconstruction , blast furnace )  O 5  O 4  O 3  O 2  O 1 C 1 f5 f4 f3 f2 f1 O 5 O 4 O 3    O 2    O 1 C 4 f5 f4 f3 f2 f1 C4:=( main management board, building, cold rolling shop) O 5 × × O 4 O 3 × × O 2 × × O 1 C 7 f5 f4 f3 f2 f1 C7:=( main management board, building)
  • 17. The Hasse diagram of concept lattice Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva C 1 C 4 C 3 C 2 C1:=( main management board) C2:= ( main management board, reconstruction , blast furnace ) C3:=( main management board, cold rolling shop) C4:=( main management board, building, cold rolling shop) C5:=( main management board, cold rolling shop, reconstruction , blast furnace ) C7:=( main management board, building) C6:=( main management board, building, reconstruction , blast furnace ) C 6 C 5 C 7
  • 18. Digest of situation Plekhanov Russian Academy of Economics D octor V. Romanov, student E. Pantileeva User (problem situation ) Document collection Official structure Object name Actions Region Action’s effect Time Main Management board Blast furnace reconstruction Lipetsk city Scrap metal utilization melioration IV quarters of xxx-year Main Management board Cold rolling shop building Magnitogorsk city Steel production increment I half xxx-year Mounting &building department Blast furnace Putting into operation Lipetsk city Equipment mounted II quarters of xxx-year